Upload 11 files
Browse files- 1_Pooling/config.json +10 -0
- README.md +582 -3
- config.json +26 -0
- config_sentence_transformers.json +10 -0
- model.safetensors +3 -0
- modules.json +14 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +64 -0
- vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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1 |
+
---
|
2 |
+
library_name: sentence-transformers
|
3 |
+
pipeline_tag: sentence-similarity
|
4 |
+
tags:
|
5 |
+
- sentence-transformers
|
6 |
+
- sentence-similarity
|
7 |
+
- feature-extraction
|
8 |
+
- generated_from_trainer
|
9 |
+
- dataset_size:169
|
10 |
+
- loss:TripletLoss
|
11 |
+
widget:
|
12 |
+
- source_sentence: Probrico flat black cabinet pulls 3 inch hole centers T bar handle
|
13 |
+
kitchen dresser 10 pack
|
14 |
+
sentences:
|
15 |
+
- 'H HANDSON Pet Grooming Gloves - Patented #1 Ranked, Award Winning Shedding, Bathing,
|
16 |
+
& Hair Remover Gloves - Gentle Brush for Cats, Dogs, and Horses
|
17 |
+
|
18 |
+
From the brand Previous page Next page Product Description Read more Read more '
|
19 |
+
- 'Voolan 10 Pack Cabinet Handles, Modern Style Stainless Steel Kitchen Cabinet
|
20 |
+
Hardware Pulls, 5" Length (3" Hole Center), Matte Black
|
21 |
+
|
22 |
+
Product Description Cabinet Knobs Cabinet Pulls Cabinet Handles Cabinet Knobs
|
23 |
+
Cabinet Handles Cabinet Cup Total Length 2 inches 5/6/7 inches 6 inches 1-1/4
|
24 |
+
inch 3.5 inches 4.3 inches Center to Center Single hole 3/4/5 inches 3.8 inches
|
25 |
+
Single hole 3 inches 3 inches Finish Flat Black Black /Brushed nickel Black /Brushed
|
26 |
+
nickel Flat Black Flat Black Flat Black Material Stainless Steel Stainless Steel
|
27 |
+
Stainless Steel Zinc Stainless Steel Zinc Cabinet Pull Style Knob Bar Bar Knob
|
28 |
+
Square Cup '
|
29 |
+
- 'Brainerd PN1053W-CO-SP Casual Adjustable Cocoa Bronze Arch Cup Cabinet Pull (10-Pack)
|
30 |
+
|
31 |
+
'
|
32 |
+
- source_sentence: '"Blue pet grooming gloves for hair removal and massage"'
|
33 |
+
sentences:
|
34 |
+
- 'Peaha Black Cabinet Pulls 3 Inch Black Drawer Pulls 5 Pack PHJ22BK Drawer Pulls
|
35 |
+
3 Inch Bar Pulls for Cabinets Black Cabinet Hardware Black Kitchen Cabinet Handles
|
36 |
+
|
37 |
+
Product Description Peaha, Fall in love with your home. Help you create a stylish
|
38 |
+
and complete look. Wide range use place can meet your needs. Which is you expect
|
39 |
+
to find in a high end cabinet store, absolutely gorgeous. Timeless style and Beautiful
|
40 |
+
finish, perfect for kitchen cabinet, bathroom closet, bedroom wardrobe and drawers.
|
41 |
+
Peaha Drawer Pulls, Build Out Your Dream Space. Read more Package Include Black
|
42 |
+
cabinet pulls, each pull comes individually wrapped and bagged to protect the
|
43 |
+
beautiful black finish. Matching standard M4 screw, easy to install, clear thread,
|
44 |
+
strong occlusion, Long-term use, not easy to fall off. Any question, welcome to
|
45 |
+
consult us. Peaha Square Kitchen Cabinet Pulls Why Choose Us Our T bar square
|
46 |
+
cabinet handles are HOLLOW CONSTRUCTION, made of high quality stainless steel
|
47 |
+
with matt black finish. The overall handle is lightweight but sturdy,look beautiful
|
48 |
+
and serve your purposes, looks no difference with solid handle when they are installed.
|
49 |
+
With suitable holding space, comfortable and delicate touch, No sharp edge with
|
50 |
+
smooth feeling makes you comfortable. Great helper to pull out Cabinet, Drawer,
|
51 |
+
Dresser, Wardrobe, Door soon and conveniently. Brand New and high quality Hollow
|
52 |
+
but Sturdy and Durable Simple line design, easy to clean Read more Only fashion
|
53 |
+
and beautiful pull hands can match your carefully decorated home Kitchen Happy
|
54 |
+
cooking with our cabinet pulls, work very well when pull and out. Bedroom Enjoy
|
55 |
+
your time in bedroom, the pulls would assist you well take something. Parlour
|
56 |
+
Peaha furniture hardware, help you wow your guests without breaking your budget.
|
57 |
+
Bathroom Everyday starts from washing, our pulls wish you energetic Read more
|
58 |
+
Black Pulls Edge Pulls Square Cabinet Knobs Acrylic Cabinet Handles Black Drawer
|
59 |
+
PUlls Brushed Nickel Finger Pulls Metal Stainless Steel Aluminum Alloy Zinc Alloy
|
60 |
+
Zinc Alloy+Acrylic Zinc Alloy+Stainless Steel Aluminum Alloy Center to Center
|
61 |
+
Single Hole 3,3.5in, 3.75in, 5in... Single Hole Single Hole,3.5in... Single Hole,
|
62 |
+
3in, 5in, 7.5in... 3in, 3.5in, 5in... Color Gold, Black, Silver Brushed Brass,
|
63 |
+
Black, Silver Gold, Black, Oil Rubbed Bronze Brushed Brass, Silver Black Gold,
|
64 |
+
Black, Silver Cabinet Pull Template Acrylic Cabinet Knobs adhesive cabinet handle
|
65 |
+
Acrylic Cabinet Pulls Finger Pulls Cabinet pulls Metal Plastic Acrylic+Zinc Alloy
|
66 |
+
Aluminum Alloy Acrylic+Zinc Alloy Aluminum Alloy Aluminum Alloy Color Blue Gold,
|
67 |
+
Black, Oil Rubbed Bronze Black, Silver Gold, Black, Silver Brushed Brass, Black,
|
68 |
+
Silver Brushed Brass, Black, Silver Center to Center Most size Single Hole, 3in...
|
69 |
+
148cm Single Hole, 2.5in, 3in, 5in... 3in, 5in... 3.75in, 5in... '
|
70 |
+
- 'Homma 3 Pack Warm Fleece Lined Thick Brushed Leggings Thights
|
71 |
+
|
72 |
+
'
|
73 |
+
- 'xjzx [Upgrade Version 2PCS Pet Grooming Glove - Gentle Deshedding Brush Glove
|
74 |
+
- Efficient Pet Hair Remover Mitt - Massage Tool with Enhanced Five Finger Design
|
75 |
+
- Perfect for Dogs & Cats, Blue
|
76 |
+
|
77 |
+
Product Description 100% Satisfaction xjzx is a leading factory specializing in
|
78 |
+
the production of a wide range of pet grooming tools for over ten years, so we
|
79 |
+
can provide you with the best service. Product Description: Color: Blue With Enhanced
|
80 |
+
255 Soft Rubber Tips, The combination of a soft silicone glove surface and a durable
|
81 |
+
air-permeable Network allows you to use it more comfortably to give your dog and
|
82 |
+
cat more fun. Feature: - Pet hair removal furniture: Made of the highest quality
|
83 |
+
Velcro and silicone material - Multi-function Deshedding Glove (Upgrade Version)-
|
84 |
+
Suitable for long or short curly hair dogs and cats. - Paste design: Velcro makes
|
85 |
+
it easy for you to wear and Take off. - The best way to get the dog''s hair out
|
86 |
+
of the sofa: the safety of cats, dogs and other pets A Healthier Home Gentle on
|
87 |
+
the skin thanks to soft rubber tips, our groomer''s glove not only helps reduce
|
88 |
+
the amount of hair left behind on furniture, clothes or in the car; it can help
|
89 |
+
reduce allergens in the air for cleaner, healthier breathing. Our pet grooming
|
90 |
+
glove comb is the perfect gift idea for dog or cat l Overs. Spend the best time
|
91 |
+
with furry friends and enjoy a clean house! We can love our dog and enjoy the
|
92 |
+
fur-free home. We hope you will like it like us! We will provide 30 days full
|
93 |
+
money Back and friendly support, we the strength and durability of all products.
|
94 |
+
Our seller s that your purchase is 100% risk-free. We are committed to making
|
95 |
+
our customers 100% satisfied. If you find any problems with the product, Please
|
96 |
+
feel free to email us. We will complete your request as soon as possible without
|
97 |
+
fear. your Satisfaction . Product packaging: 2 BLUE pet hair remover gloves (1
|
98 |
+
Left-hand and 1 right-hand)Click ''Add to Cart'' above to get the xjzx deshedding
|
99 |
+
glove and keep your pet happy, healthy, and free of loose hair. Product Description
|
100 |
+
100% Satisfaction xjzx is a leading factory specializing in the production of
|
101 |
+
a wide range of pet grooming tools for over ten years, so we can provide you with
|
102 |
+
the best service. Product Description: Color: Blue With Enhanced 255 Soft Rubber
|
103 |
+
Tips, The combination of a soft silicone glove surface and a durable air-permeable
|
104 |
+
Network allows you to use it more comfortably to give your dog and cat more fun.
|
105 |
+
Feature: - Pet hair removal furniture: Made of the highest quality Velcro and
|
106 |
+
silicone material - Multi-function Deshedding Glove (Upgrade Version)- Suitable
|
107 |
+
for long or short curly hair dogs and cats. - Paste design: Velcro makes it easy
|
108 |
+
for you to wear and Take off. - The best way to get the dog''s hair out of the
|
109 |
+
sofa: the safety of cats, dogs and other pets A Healthier Home Gentle on the skin
|
110 |
+
thanks to soft rubber tips, our groomer''s glove not only helps reduce the amount
|
111 |
+
of hair left behind on furniture, clothes or in the car; it can help reduce allergens
|
112 |
+
in the air for cleaner, healthier breathing. Our pet grooming glove comb is the
|
113 |
+
perfect gift idea for dog or cat l Overs. Spend the best time with furry friends
|
114 |
+
and enjoy a clean house! We can love our dog and enjoy the fur-free home. We hope
|
115 |
+
you will like it like us! We will provide 30 days full money Back and friendly
|
116 |
+
support, we the strength and durability of all products. Our seller s that your
|
117 |
+
purchase is 100% risk-free. We are committed to making our customers 100% satisfied.
|
118 |
+
If you find any problems with the product, Please feel free to email us. We will
|
119 |
+
complete your request as soon as possible without fear. your Satisfaction . Product
|
120 |
+
packaging: 2 BLUE pet hair remover gloves (1 Left-hand and 1 right-hand)Click
|
121 |
+
''Add to Cart'' above to get the xjzx deshedding glove and keep your pet happy,
|
122 |
+
healthy, and free of loose hair.'
|
123 |
+
- source_sentence: '"professional hair cutting scissors extremely sharp blades 6 inch
|
124 |
+
barber scissors set for men and women Fagaci"'
|
125 |
+
sentences:
|
126 |
+
- 'KOOFIZO Solid Curved Bar Cabinet Pull - Chrome Furniture Arch Handle, 3 Inch/76mm
|
127 |
+
Screw Hole Center, 10-Pack for Kitchen Cupboard Door, Bedroom Dresser Drawer,
|
128 |
+
Bathroom Wardrobe Hardware
|
129 |
+
|
130 |
+
From the brand About KOOFIZO Our purpose is to enhance the quality of life and
|
131 |
+
contribute to a better and healthier home. Previous page More packing quantity
|
132 |
+
Visit the Store More packing quantity Visit the Store More packing quantity Visit
|
133 |
+
the Store More packing quantity Visit the Store More packing quantity Visit the
|
134 |
+
Store More packing quantity Visit the Store More packing quantity Visit the Store
|
135 |
+
More packing quantity Visit the Store More packing quantity Visit the Store Next
|
136 |
+
page Product Description Black Oil-Rubbed Bronze Brushed Nickel Polished Chrome
|
137 |
+
Read more Sizes: Height: 15/16 inch (24mm); Screw sizes: 8-32X25mm & 8-32X38mm;
|
138 |
+
Included screws are most suitable for board thickness of common cabinet door and
|
139 |
+
drawer front, special screws need to be prepared separately. Each curved bar cabinet
|
140 |
+
arch pull handle is individually polybagged; Solid zinc material + high quality
|
141 |
+
surface treatment; Comfortable and durable at high-traffic application; An ideal
|
142 |
+
hardware product for kitchen cabinet drawer / door and all rooms ; Get Koofizo
|
143 |
+
Hardware = Get Good Value! Perfect Match Various Colors Various Sizes Easy Installation
|
144 |
+
Read more Curved Bar Pull Curved Bar Pull Curved Bar Pull T Bar Cabinet Knob Square
|
145 |
+
Foot Arch Pull Square Cabinet Knob Quantity per Set 20 5 10 10 10 10 Finish Oil
|
146 |
+
Rubbed Bronze Oil Rubbed Bronze Oil Rubbed Bronze Oil Rubbed Bronze Oil Rubbed
|
147 |
+
Bronze Oil Rubbed Bronze Screws per Piece 2 2 2 1 2 1 Hardware Dimensions 3 inches
|
148 |
+
3 inches 3 inches 1-3/4 inches 5 inches 1-3/16 inches Total Length 5-3/16 inches
|
149 |
+
5-3/16 inches 5-3/16 inches 5-7/16 inches Solid Square Bar Pull Square Foot Arch
|
150 |
+
Pull Big Square Foot Pull Bell Bottom Cabinet Pull Stepped Bar Handle Bin Cup
|
151 |
+
Drawer Pull Quantity per Set 10 10 10 10 10 10 Finish Black Black Black Black
|
152 |
+
Black Black Screws per Piece 2 2 2 2 2 2 Hardware Dimensions 5 inches 5 inches
|
153 |
+
5 inches 5 inches 5 inches 3 inches Total Length 5-3/8 inches 5-1/2 inches 6 inches
|
154 |
+
5-7/8 inches 5-13/16 inches 3-11/16 inches '
|
155 |
+
- '7" Ultra Sharp Professional Straight Barber Scissors, Stainless Steel Hair Cutting
|
156 |
+
Shears For Men & Women w/Soft Easy Grip Handles
|
157 |
+
|
158 |
+
Product Description 7" Ultra Sharp Professional Straight Barber Scissors, Stainless
|
159 |
+
Steel Hair Cutting Shears For Men & Women w/Soft Easy Grip Handles Product Description
|
160 |
+
7" Ultra Sharp Professional Straight Barber Scissors, Stainless Steel Hair Cutting
|
161 |
+
Shears For Men & Women w/Soft Easy Grip Handles'
|
162 |
+
- 'Makeup Organizer 360 Degree Rotating 7 Adjustable Layers Large Capacity Cosmetic
|
163 |
+
Organizer Transparent Make Up Organizers and Storage
|
164 |
+
|
165 |
+
From the brand New Fashion Beauty Way--MISERWE Our story How we got our start
|
166 |
+
MISERWE is a young Beauty & Personal Care Brand, beginning in 2018.We aim to open
|
167 |
+
a new age for Beauty & Personal Care and hope to lead a new Beauty way for all
|
168 |
+
Womens. What makes our product unique MISERWE offers high-end Beauty & Personal
|
169 |
+
Care products at an affordable value for every Woman.We have sold hundreds and
|
170 |
+
thousands of products worldwide, and our customers have already become MISERWE
|
171 |
+
fans. Why we love what we do MISERWE Team members are all women.We know the Beauty
|
172 |
+
& Personal Care means to women.We pride ourselves to help all the women gain the
|
173 |
+
Beauty and Confidence they want. Product Description PERFECT COSMETIC ORGANIZER
|
174 |
+
Makeup organizer is mainly used to store cosmetics and various private small items.
|
175 |
+
Not only that, when the stylish and elegant cosmetic organizer is placed in the
|
176 |
+
washroom and dressing table, it also adds a touch of beautiful color to the whole
|
177 |
+
room, making the mood happy. Magic-like sorting and storage effect, it is more
|
178 |
+
convenient to use. Adjustable Layers Miserwe makeup organizer has 7 adjustable
|
179 |
+
layers. You can make one organizer that meet your needs, you can also adjust tray
|
180 |
+
height according to your cosmetics.The adjustable design makes storage easier.
|
181 |
+
Acrylic Material Made of high impact acrylic for better durability, more tough
|
182 |
+
and durable than ABS material, can bear heavy commodities. Premium rubber rings
|
183 |
+
are added to improve the firmness of the whole structure. It will be your good
|
184 |
+
choice if you want a makeup organizer with firm construction. Anti-slip Design
|
185 |
+
We add anti-slip part at the bottom and raised safety tabs at the top plate to
|
186 |
+
avoid falling down; Diamond design and spare partition slots are not only decorative
|
187 |
+
but also practical to hold earrings and other accessories. Read more Read more '
|
188 |
+
- source_sentence: '"Blue pet grooming gloves for hair removal and massage"'
|
189 |
+
sentences:
|
190 |
+
- 'TCE ATZ830026XU Torin Hydraulic Ultra Low Profile Heavy Duty Steel Service/Floor
|
191 |
+
Jack with Dual Piston Quick Lift Pump, 3 Ton (6,000 lb) Capacity, Blue
|
192 |
+
|
193 |
+
Product Description The Torin TCE ATZ830026XU ultra low profile racing floor jack
|
194 |
+
can be used for general or specialty use and features a 3 ton (6,000 lb) load
|
195 |
+
capacity. With a lift range between 3-1/8" to 20", you can gain easy access under
|
196 |
+
low-profile vehicles. It''s constructed of durable, heavy duty steel. Dual piston
|
197 |
+
quick pump allows you to easily raise the jack to the desired height. A foam bumper
|
198 |
+
on the handle helps protect your vehicle from damage. Equipped with (2) large
|
199 |
+
steel casters and (2) 360-degree swivel casters for smooth maneuverability. In
|
200 |
+
terms of safety, this Torin service jack even comes with a built-in safety overload
|
201 |
+
system which prevents use beyond load capacity. Includes a limited 2 year manufacturer
|
202 |
+
warranty. Product Description The Torin TCE ATZ830026XU ultra low profile racing
|
203 |
+
floor jack can be used for general or specialty use and features a 3 ton (6,000
|
204 |
+
lb) load capacity. With a lift range between 3-1/8" to 20", you can gain easy
|
205 |
+
access under low-profile vehicles. It''s constructed of durable, heavy duty steel.
|
206 |
+
Dual piston quick pump allows you to easily raise the jack to the desired height.
|
207 |
+
A foam bumper on the handle helps protect your vehicle from damage. Equipped with
|
208 |
+
(2) large steel casters and (2) 360-degree swivel casters for smooth maneuverability.
|
209 |
+
In terms of safety, this Torin service jack even comes with a built-in safety
|
210 |
+
overload system which prevents use beyond load capacity. Includes a limited 2
|
211 |
+
year manufacturer warranty.From the manufacturer Read more Read more Read more
|
212 |
+
Read more 40" Rolling Garage/Shop Creeper Cart Rolling Creeper Garage/Shop Seat
|
213 |
+
3 Ton Steel Jack Stands 3 Ton Hydraulic Trolley Floor Jack 20 Ton Air Hydraulic
|
214 |
+
Bottle Jack 4 Ton Auto Body Frame Repair Kit Weight 18.5 pounds 10.4 pounds 15.1
|
215 |
+
pounds 42.7 pounds 35.7 pounds 37.4 pounds Dimensions 40.4 x 16.7 x 4.4 inches
|
216 |
+
14.4 x 14.4 x 14.4 inches 8.7 x 6.5 x 10.4 inches 24.7 x 11.3 x 7.1 inches 8.7
|
217 |
+
x 6.5 x 10.4 inches 14.2 x 5.2 x 5.9 inches '
|
218 |
+
- 'Grip Boost Stealth Solid Color Football Gloves Pro Elite - Adult Sizes Black
|
219 |
+
/ Large
|
220 |
+
|
221 |
+
'
|
222 |
+
- 'BELMAKS Dog Hair Fur Remover Shedding Tool Puppy Electric Hair Shedding Grooming
|
223 |
+
Brush Pet Cat Comb Remover Unload Vacuum Cleaner Trimmer
|
224 |
+
|
225 |
+
'
|
226 |
+
- source_sentence: Probrico flat black cabinet pulls 3 inch hole centers T bar handle
|
227 |
+
kitchen dresser 10 pack
|
228 |
+
sentences:
|
229 |
+
- 'SCPAMA Heavy Duty Drawer Slides 40 Inch with Lock Three Sections Ball Bearing
|
230 |
+
Full Extension Drawer Sliding Rails Side Mount 264lbs Loading Capacity
|
231 |
+
|
232 |
+
'
|
233 |
+
- 'Ultra Game NFL womens Fleece Hoodie Pullover Sweatshirt Tie Neck
|
234 |
+
|
235 |
+
Product Description Ultra-Game partners with the major sports leagues and franchises
|
236 |
+
to bring you officially licensed gear at down-to-earth prices. If you like to
|
237 |
+
wear your passion in public, Ultra Game''s got you covered. Whether it''s streetwear,
|
238 |
+
loungewear, or true workout gear, Ultra Game is your number one source for highly
|
239 |
+
fashionable team apparel. Why buy Ultra Game brand products? 100% Authentic –
|
240 |
+
Ultra Game manufactures officially licensed apparel for the NBA and NFL. Best
|
241 |
+
In Class Apparel – We focus on manufacturing the highest quality apparel at affordable
|
242 |
+
prices. Highly Fashionable – We are constantly updating our styles with the latest
|
243 |
+
fashion trends.. Product Description Ultra-Game partners with the major sports
|
244 |
+
leagues and franchises to bring you officially licensed gear at down-to-earth
|
245 |
+
prices. If you like to wear your passion in public, Ultra Game''s got you covered.
|
246 |
+
Whether it''s streetwear, loungewear, or true workout gear, Ultra Game is your
|
247 |
+
number one source for highly fashionable team apparel. Why buy Ultra Game brand
|
248 |
+
products? 100% Authentic – Ultra Game manufactures officially licensed apparel
|
249 |
+
for the NBA and NFL. Best In Class Apparel – We focus on manufacturing the highest
|
250 |
+
quality apparel at affordable prices. Highly Fashionable – We are constantly updating
|
251 |
+
our styles with the latest fashion trends..From the manufacturer Read more Poly
|
252 |
+
Fleece Fabric Midweight poly fabric and inner fleece lining feels super soft and
|
253 |
+
comfortable. Comfortable Fit Drawcord hoody, rib cuffs on sleeves and bottom hem
|
254 |
+
provide a perfect fit. Kangaroo Front Pouch Roomy front pouch pocket to store
|
255 |
+
your items and keep your hands warm. Screen Print Graphics High quality graphics
|
256 |
+
of your favorite NFL team in official team colors and gray. Read more NFL Women''s
|
257 |
+
Tie Neck Pullover Fleece Hoodie Sweatshirt NFL Women''s Hombre Full Zip Fleece
|
258 |
+
Hoodie NFL Women''s Tunic Pullover Terry Hoodie Sweatshirt NFL Women''s Stripe
|
259 |
+
Pullover Terry Hoodie Sweatshirt Ultra Game NFL Women''s Soft Fleece Sherpa Hoodie
|
260 |
+
Jacket NFL Women''s Banner Full Zip Fleece Hoodie Sweatshirt Style JHL3039F JZL3042F
|
261 |
+
JTL2188A JTL1769A JZL9236A JZL4949F Fabric Fleece Fleece French Terry French Tery
|
262 |
+
Sherpa Brushed Fleece Color White Team Color/Gray Team Color/Dark Team Color/Stripe
|
263 |
+
Heather Gray Team Colors Type Pullover Full Zip Pullover Pullover Full Zip Hoodie
|
264 |
+
Full ZIp Drawstring ✓ ✓ ✓ ✓ ✓ ✓ Pockets Kangaroo Front Pouch Kangaroo Pockets
|
265 |
+
Kangaroo Front Pouch - Side pockets Kangaroo Pockets Ribbed Cuffs Sleeves/Waist
|
266 |
+
Sleeves/Waist Sleeves/Waist - Sleeves/Waist Sleeves/Waist Hemline Ribbed Ribbed
|
267 |
+
Ribbed Tunic Shirt Tail Ribbed Ribbed Team Jock Tag ✓ ✓ - - - - Read more Read
|
268 |
+
more '
|
269 |
+
- '5 Pack Probrico Modern 3inch (76mm) Kitchen Cabinet Handles Cupboard T Bar Drawer
|
270 |
+
Pulls Door Handles Knobs Stainless Steel Brushed Nickel Finish Diameter 1/2inch
|
271 |
+
(12mm)
|
272 |
+
|
273 |
+
'
|
274 |
+
---
|
275 |
+
|
276 |
+
# SentenceTransformer
|
277 |
+
|
278 |
+
This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
|
279 |
+
|
280 |
+
## Model Details
|
281 |
+
|
282 |
+
### Model Description
|
283 |
+
- **Model Type:** Sentence Transformer
|
284 |
+
<!-- - **Base model:** [Unknown](https://huggingface.co/unknown) -->
|
285 |
+
- **Maximum Sequence Length:** 512 tokens
|
286 |
+
- **Output Dimensionality:** 768 tokens
|
287 |
+
- **Similarity Function:** Dot Product
|
288 |
+
<!-- - **Training Dataset:** Unknown -->
|
289 |
+
<!-- - **Language:** Unknown -->
|
290 |
+
<!-- - **License:** Unknown -->
|
291 |
+
|
292 |
+
### Model Sources
|
293 |
+
|
294 |
+
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
|
295 |
+
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
|
296 |
+
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
|
297 |
+
|
298 |
+
### Full Model Architecture
|
299 |
+
|
300 |
+
```
|
301 |
+
SentenceTransformer(
|
302 |
+
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel
|
303 |
+
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
|
304 |
+
)
|
305 |
+
```
|
306 |
+
|
307 |
+
## Usage
|
308 |
+
|
309 |
+
### Direct Usage (Sentence Transformers)
|
310 |
+
|
311 |
+
First install the Sentence Transformers library:
|
312 |
+
|
313 |
+
```bash
|
314 |
+
pip install -U sentence-transformers
|
315 |
+
```
|
316 |
+
|
317 |
+
Then you can load this model and run inference.
|
318 |
+
```python
|
319 |
+
from sentence_transformers import SentenceTransformer
|
320 |
+
|
321 |
+
# Download from the 🤗 Hub
|
322 |
+
model = SentenceTransformer("sentence_transformers_model_id")
|
323 |
+
# Run inference
|
324 |
+
sentences = [
|
325 |
+
'Probrico flat black cabinet pulls 3 inch hole centers T bar handle kitchen dresser 10 pack',
|
326 |
+
'5 Pack Probrico Modern 3inch (76mm) Kitchen Cabinet Handles Cupboard T Bar Drawer Pulls Door Handles Knobs Stainless Steel Brushed Nickel Finish Diameter 1/2inch (12mm)\n',
|
327 |
+
'SCPAMA Heavy Duty Drawer Slides 40 Inch with Lock Three Sections Ball Bearing Full Extension Drawer Sliding Rails Side Mount 264lbs Loading Capacity\n',
|
328 |
+
]
|
329 |
+
embeddings = model.encode(sentences)
|
330 |
+
print(embeddings.shape)
|
331 |
+
# [3, 768]
|
332 |
+
|
333 |
+
# Get the similarity scores for the embeddings
|
334 |
+
similarities = model.similarity(embeddings, embeddings)
|
335 |
+
print(similarities.shape)
|
336 |
+
# [3, 3]
|
337 |
+
```
|
338 |
+
|
339 |
+
<!--
|
340 |
+
### Direct Usage (Transformers)
|
341 |
+
|
342 |
+
<details><summary>Click to see the direct usage in Transformers</summary>
|
343 |
+
|
344 |
+
</details>
|
345 |
+
-->
|
346 |
+
|
347 |
+
<!--
|
348 |
+
### Downstream Usage (Sentence Transformers)
|
349 |
+
|
350 |
+
You can finetune this model on your own dataset.
|
351 |
+
|
352 |
+
<details><summary>Click to expand</summary>
|
353 |
+
|
354 |
+
</details>
|
355 |
+
-->
|
356 |
+
|
357 |
+
<!--
|
358 |
+
### Out-of-Scope Use
|
359 |
+
|
360 |
+
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
|
361 |
+
-->
|
362 |
+
|
363 |
+
<!--
|
364 |
+
## Bias, Risks and Limitations
|
365 |
+
|
366 |
+
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
367 |
+
-->
|
368 |
+
|
369 |
+
<!--
|
370 |
+
### Recommendations
|
371 |
+
|
372 |
+
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
373 |
+
-->
|
374 |
+
|
375 |
+
## Training Details
|
376 |
+
|
377 |
+
### Training Dataset
|
378 |
+
|
379 |
+
#### Unnamed Dataset
|
380 |
+
|
381 |
+
|
382 |
+
* Size: 169 training samples
|
383 |
+
* Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>sentence_2</code>
|
384 |
+
* Approximate statistics based on the first 169 samples:
|
385 |
+
| | sentence_0 | sentence_1 | sentence_2 |
|
386 |
+
|:--------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
|
387 |
+
| type | string | string | string |
|
388 |
+
| details | <ul><li>min: 12 tokens</li><li>mean: 18.28 tokens</li><li>max: 23 tokens</li></ul> | <ul><li>min: 12 tokens</li><li>mean: 303.16 tokens</li><li>max: 512 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 89.4 tokens</li><li>max: 512 tokens</li></ul> |
|
389 |
+
* Samples:
|
390 |
+
| sentence_0 | sentence_1 | sentence_2 |
|
391 |
+
|:-----------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
392 |
+
| <code>"professional hair cutting scissors extremely sharp blades 6 inch barber scissors set for men and women Fagaci"</code> | <code>Equinox Professional Hair Scissors - Hair Cutting Scissors Professional - 6.5” Overall Length - Barber Scissors for Men and Women - Premium Shears For Salon and Home Use (Ice Tempered - Silver)<br>Product Description Read more Equinox International Scissors - One of Kind After years of testing shear styles and stainless steel variations, the Equinox International scissor is a one of a kind. With an ergonomic patented design, these shears cradle the user's fingers, providing full control. Outstanding Performing With over 1000 reviews, fans are raving about our scissors around the world! Comes in an easy-to-open blister pack package. Finger Rest + Comfortable Finger Holes Equipped with a finger rest and comfortable finger hole, this hair cutting scissor can be used by all types of fingers. During haircuts, the scissor stays firm and wrapped around your fingers Comes with finger inserts. Hand Sharpened Cutting Edges Tempered with defined blades and hand-sharpened cutting edges to evenly trim hair with ease. Great to use for any kind of hair Japanese Stainless Steel Crafted with finely honed blades to deliver defined haircuts with minimal effort. Using Japanese stainless steel, these shears don't rust or lose their luster. Read more Read more </code> | <code>3 Sets Thumb Knife, Silicone Garden Thumb Knife, Finger Knife for Fruit and Vegetable Picking Garden Plants Trim, Portable Garden Trim Tool Set Thumb Knife for Gardeners (L)<br></code> |
|
393 |
+
| <code>"Blue pet grooming gloves for hair removal and massage"</code> | <code>Round Bristle Pet Brush for Dogs and Cats - Gentle Grooming for Short or Long Hair - Soft Tool for Sensitive Skin Removes Dander, Dirt, and Detangles - Purple<br></code> | <code>Blue Q Oven Mitts, This is F--king Delicious., 1 Glove 8"<br>Product Description Blue Q Womens Fucking Delicious Oven Mitt, Grey, OS Product Description Blue Q Womens Fucking Delicious Oven Mitt, Grey, OS</code> |
|
394 |
+
| <code>"professional hair cutting scissors extremely sharp blades 6 inch barber scissors set for men and women Fagaci"</code> | <code>Professional Barber/Salon Razor Edge Hair Cutting Scissors/Shears 6.5" Ice Tempered Stainless Steel Reinforced With Chromium To Resist Tarnish and Rust -210-10225<br>Product Description BARBER'S BEST FRIEND ProMax's finest A one-of-a-kind scissor is the result of years of testing shear styles and stainless steel variations. The ergonomic design of these shears provides full control for the user. Noticeable Performance With a sharp edge blade for clean and sleek cuts comfort rest Equipped with finger rest and finger grips to have full control over the scissor Read more </code> | <code>"Crayola Bath Time Fun Bundle Including Bathtub Markers, Bathtub Crayons and Bath Squirters"<br></code> |
|
395 |
+
* Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
|
396 |
+
```json
|
397 |
+
{
|
398 |
+
"distance_metric": "TripletDistanceMetric.EUCLIDEAN",
|
399 |
+
"triplet_margin": 5.0
|
400 |
+
}
|
401 |
+
```
|
402 |
+
|
403 |
+
### Training Hyperparameters
|
404 |
+
#### Non-Default Hyperparameters
|
405 |
+
|
406 |
+
- `per_device_train_batch_size`: 2
|
407 |
+
- `per_device_eval_batch_size`: 2
|
408 |
+
- `num_train_epochs`: 1
|
409 |
+
- `multi_dataset_batch_sampler`: round_robin
|
410 |
+
|
411 |
+
#### All Hyperparameters
|
412 |
+
<details><summary>Click to expand</summary>
|
413 |
+
|
414 |
+
- `overwrite_output_dir`: False
|
415 |
+
- `do_predict`: False
|
416 |
+
- `eval_strategy`: no
|
417 |
+
- `prediction_loss_only`: True
|
418 |
+
- `per_device_train_batch_size`: 2
|
419 |
+
- `per_device_eval_batch_size`: 2
|
420 |
+
- `per_gpu_train_batch_size`: None
|
421 |
+
- `per_gpu_eval_batch_size`: None
|
422 |
+
- `gradient_accumulation_steps`: 1
|
423 |
+
- `eval_accumulation_steps`: None
|
424 |
+
- `torch_empty_cache_steps`: None
|
425 |
+
- `learning_rate`: 5e-05
|
426 |
+
- `weight_decay`: 0.0
|
427 |
+
- `adam_beta1`: 0.9
|
428 |
+
- `adam_beta2`: 0.999
|
429 |
+
- `adam_epsilon`: 1e-08
|
430 |
+
- `max_grad_norm`: 1
|
431 |
+
- `num_train_epochs`: 1
|
432 |
+
- `max_steps`: -1
|
433 |
+
- `lr_scheduler_type`: linear
|
434 |
+
- `lr_scheduler_kwargs`: {}
|
435 |
+
- `warmup_ratio`: 0.0
|
436 |
+
- `warmup_steps`: 0
|
437 |
+
- `log_level`: passive
|
438 |
+
- `log_level_replica`: warning
|
439 |
+
- `log_on_each_node`: True
|
440 |
+
- `logging_nan_inf_filter`: True
|
441 |
+
- `save_safetensors`: True
|
442 |
+
- `save_on_each_node`: False
|
443 |
+
- `save_only_model`: False
|
444 |
+
- `restore_callback_states_from_checkpoint`: False
|
445 |
+
- `no_cuda`: False
|
446 |
+
- `use_cpu`: False
|
447 |
+
- `use_mps_device`: False
|
448 |
+
- `seed`: 42
|
449 |
+
- `data_seed`: None
|
450 |
+
- `jit_mode_eval`: False
|
451 |
+
- `use_ipex`: False
|
452 |
+
- `bf16`: False
|
453 |
+
- `fp16`: False
|
454 |
+
- `fp16_opt_level`: O1
|
455 |
+
- `half_precision_backend`: auto
|
456 |
+
- `bf16_full_eval`: False
|
457 |
+
- `fp16_full_eval`: False
|
458 |
+
- `tf32`: None
|
459 |
+
- `local_rank`: 0
|
460 |
+
- `ddp_backend`: None
|
461 |
+
- `tpu_num_cores`: None
|
462 |
+
- `tpu_metrics_debug`: False
|
463 |
+
- `debug`: []
|
464 |
+
- `dataloader_drop_last`: False
|
465 |
+
- `dataloader_num_workers`: 0
|
466 |
+
- `dataloader_prefetch_factor`: None
|
467 |
+
- `past_index`: -1
|
468 |
+
- `disable_tqdm`: False
|
469 |
+
- `remove_unused_columns`: True
|
470 |
+
- `label_names`: None
|
471 |
+
- `load_best_model_at_end`: False
|
472 |
+
- `ignore_data_skip`: False
|
473 |
+
- `fsdp`: []
|
474 |
+
- `fsdp_min_num_params`: 0
|
475 |
+
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
|
476 |
+
- `fsdp_transformer_layer_cls_to_wrap`: None
|
477 |
+
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
|
478 |
+
- `deepspeed`: None
|
479 |
+
- `label_smoothing_factor`: 0.0
|
480 |
+
- `optim`: adamw_torch
|
481 |
+
- `optim_args`: None
|
482 |
+
- `adafactor`: False
|
483 |
+
- `group_by_length`: False
|
484 |
+
- `length_column_name`: length
|
485 |
+
- `ddp_find_unused_parameters`: None
|
486 |
+
- `ddp_bucket_cap_mb`: None
|
487 |
+
- `ddp_broadcast_buffers`: False
|
488 |
+
- `dataloader_pin_memory`: True
|
489 |
+
- `dataloader_persistent_workers`: False
|
490 |
+
- `skip_memory_metrics`: True
|
491 |
+
- `use_legacy_prediction_loop`: False
|
492 |
+
- `push_to_hub`: False
|
493 |
+
- `resume_from_checkpoint`: None
|
494 |
+
- `hub_model_id`: None
|
495 |
+
- `hub_strategy`: every_save
|
496 |
+
- `hub_private_repo`: False
|
497 |
+
- `hub_always_push`: False
|
498 |
+
- `gradient_checkpointing`: False
|
499 |
+
- `gradient_checkpointing_kwargs`: None
|
500 |
+
- `include_inputs_for_metrics`: False
|
501 |
+
- `eval_do_concat_batches`: True
|
502 |
+
- `fp16_backend`: auto
|
503 |
+
- `push_to_hub_model_id`: None
|
504 |
+
- `push_to_hub_organization`: None
|
505 |
+
- `mp_parameters`:
|
506 |
+
- `auto_find_batch_size`: False
|
507 |
+
- `full_determinism`: False
|
508 |
+
- `torchdynamo`: None
|
509 |
+
- `ray_scope`: last
|
510 |
+
- `ddp_timeout`: 1800
|
511 |
+
- `torch_compile`: False
|
512 |
+
- `torch_compile_backend`: None
|
513 |
+
- `torch_compile_mode`: None
|
514 |
+
- `dispatch_batches`: None
|
515 |
+
- `split_batches`: None
|
516 |
+
- `include_tokens_per_second`: False
|
517 |
+
- `include_num_input_tokens_seen`: False
|
518 |
+
- `neftune_noise_alpha`: None
|
519 |
+
- `optim_target_modules`: None
|
520 |
+
- `batch_eval_metrics`: False
|
521 |
+
- `eval_on_start`: False
|
522 |
+
- `eval_use_gather_object`: False
|
523 |
+
- `batch_sampler`: batch_sampler
|
524 |
+
- `multi_dataset_batch_sampler`: round_robin
|
525 |
+
|
526 |
+
</details>
|
527 |
+
|
528 |
+
### Framework Versions
|
529 |
+
- Python: 3.10.12
|
530 |
+
- Sentence Transformers: 3.1.0
|
531 |
+
- Transformers: 4.44.2
|
532 |
+
- PyTorch: 2.4.1
|
533 |
+
- Accelerate: 0.34.2
|
534 |
+
- Datasets: 3.0.0
|
535 |
+
- Tokenizers: 0.19.1
|
536 |
+
|
537 |
+
## Citation
|
538 |
+
|
539 |
+
### BibTeX
|
540 |
+
|
541 |
+
#### Sentence Transformers
|
542 |
+
```bibtex
|
543 |
+
@inproceedings{reimers-2019-sentence-bert,
|
544 |
+
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
|
545 |
+
author = "Reimers, Nils and Gurevych, Iryna",
|
546 |
+
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
|
547 |
+
month = "11",
|
548 |
+
year = "2019",
|
549 |
+
publisher = "Association for Computational Linguistics",
|
550 |
+
url = "https://arxiv.org/abs/1908.10084",
|
551 |
+
}
|
552 |
+
```
|
553 |
+
|
554 |
+
#### TripletLoss
|
555 |
+
```bibtex
|
556 |
+
@misc{hermans2017defense,
|
557 |
+
title={In Defense of the Triplet Loss for Person Re-Identification},
|
558 |
+
author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
|
559 |
+
year={2017},
|
560 |
+
eprint={1703.07737},
|
561 |
+
archivePrefix={arXiv},
|
562 |
+
primaryClass={cs.CV}
|
563 |
+
}
|
564 |
+
```
|
565 |
+
|
566 |
+
<!--
|
567 |
+
## Glossary
|
568 |
+
|
569 |
+
*Clearly define terms in order to be accessible across audiences.*
|
570 |
+
-->
|
571 |
+
|
572 |
+
<!--
|
573 |
+
## Model Card Authors
|
574 |
+
|
575 |
+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
576 |
+
-->
|
577 |
+
|
578 |
+
<!--
|
579 |
+
## Model Card Contact
|
580 |
+
|
581 |
+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
582 |
+
-->
|
config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "output/",
|
3 |
+
"architectures": [
|
4 |
+
"BertModel"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"gradient_checkpointing": false,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 3072,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"max_position_embeddings": 512,
|
16 |
+
"model_type": "bert",
|
17 |
+
"num_attention_heads": 12,
|
18 |
+
"num_hidden_layers": 12,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"position_embedding_type": "absolute",
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.44.2",
|
23 |
+
"type_vocab_size": 2,
|
24 |
+
"use_cache": true,
|
25 |
+
"vocab_size": 30522
|
26 |
+
}
|
config_sentence_transformers.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"__version__": {
|
3 |
+
"sentence_transformers": "3.1.0",
|
4 |
+
"transformers": "4.44.2",
|
5 |
+
"pytorch": "2.4.1"
|
6 |
+
},
|
7 |
+
"prompts": {},
|
8 |
+
"default_prompt_name": null,
|
9 |
+
"similarity_fn_name": "dot"
|
10 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:108737c04939145cc52f4552a883df276cc82e9944f948a08da75400e51c0441
|
3 |
+
size 437951328
|
modules.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[
|
2 |
+
{
|
3 |
+
"idx": 0,
|
4 |
+
"name": "0",
|
5 |
+
"path": "",
|
6 |
+
"type": "sentence_transformers.models.Transformer"
|
7 |
+
},
|
8 |
+
{
|
9 |
+
"idx": 1,
|
10 |
+
"name": "1",
|
11 |
+
"path": "1_Pooling",
|
12 |
+
"type": "sentence_transformers.models.Pooling"
|
13 |
+
}
|
14 |
+
]
|
sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": {
|
3 |
+
"content": "[CLS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"mask_token": {
|
10 |
+
"content": "[MASK]",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[PAD]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"sep_token": {
|
24 |
+
"content": "[SEP]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"unk_token": {
|
31 |
+
"content": "[UNK]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
}
|
37 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
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|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": true,
|
48 |
+
"mask_token": "[MASK]",
|
49 |
+
"max_length": 300,
|
50 |
+
"model_max_length": 512,
|
51 |
+
"never_split": null,
|
52 |
+
"pad_to_multiple_of": null,
|
53 |
+
"pad_token": "[PAD]",
|
54 |
+
"pad_token_type_id": 0,
|
55 |
+
"padding_side": "right",
|
56 |
+
"sep_token": "[SEP]",
|
57 |
+
"stride": 0,
|
58 |
+
"strip_accents": null,
|
59 |
+
"tokenize_chinese_chars": true,
|
60 |
+
"tokenizer_class": "BertTokenizer",
|
61 |
+
"truncation_side": "right",
|
62 |
+
"truncation_strategy": "longest_first",
|
63 |
+
"unk_token": "[UNK]"
|
64 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|