small talk
Browse files
README.md
CHANGED
@@ -1,4 +1,23 @@
|
|
1 |
---
|
2 |
license: unlicense
|
3 |
pipeline_tag: sentence-similarity
|
4 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: unlicense
|
3 |
pipeline_tag: sentence-similarity
|
4 |
+
---
|
5 |
+
Encoder-model for search query similarity task.
|
6 |
+
|
7 |
+
Fast and accurate.
|
8 |
+
|
9 |
+
Sentence Piece fitted on 269 million Russian search queries log.
|
10 |
+
|
11 |
+
|
12 |
+
```python
|
13 |
+
from transformers import AutoModel, AutoTokenizer
|
14 |
+
|
15 |
+
model = AutoModel.from_pretrained('fkrasnov2/SBE')
|
16 |
+
tokenizer = AutoTokenizer.from_pretrained('fkrasnov2/SBE')
|
17 |
+
|
18 |
+
input_ids = tokenizer.encode("чёрное платье", max_length=model.config.max_position_embeddings, truncation=True, return_tensors='pt')
|
19 |
+
|
20 |
+
vector = model(input_ids=input_ids, attention_mask=input_ids>3)[0][0,0]
|
21 |
+
|
22 |
+
assert model.config.hidden_size == vector.shape[0]
|
23 |
+
```
|