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|---|---|---|---|---|---|---|---|---|---|
hannesthu/make_product_with_next | hannesthu | 2024-06-28T20:30:54Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:30:51Z |
# hannesthu/make_product_with_next
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_elementwise_product_of_half_sequence | hannesthu | 2024-06-28T20:30:58Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:30:54Z |
# hannesthu/make_elementwise_product_of_half_sequence
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_check_power_of_n | hannesthu | 2024-06-28T20:31:02Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:30:58Z |
# hannesthu/make_check_power_of_n
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_clip | hannesthu | 2024-06-28T20:31:05Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:02Z |
# hannesthu/make_clip
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_divide_by | hannesthu | 2024-06-28T20:31:08Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:05Z |
# hannesthu/make_divide_by
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_check_all_equal | hannesthu | 2024-06-28T20:31:11Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:09Z |
# hannesthu/make_check_all_equal
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_swap_elements | hannesthu | 2024-06-28T20:31:14Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:12Z |
# hannesthu/make_swap_elements
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_increment_odd_indices | hannesthu | 2024-06-28T20:31:18Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:15Z |
# hannesthu/make_increment_odd_indices
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_zero_every_third | hannesthu | 2024-06-28T20:31:22Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:19Z |
# hannesthu/make_zero_every_third
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_check_increasing | hannesthu | 2024-06-28T20:31:26Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:23Z |
# hannesthu/make_check_increasing
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_check_even | hannesthu | 2024-06-28T20:31:29Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:26Z |
# hannesthu/make_check_even
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_max_element | hannesthu | 2024-06-28T20:31:32Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:29Z |
# hannesthu/make_max_element
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_histogram | hannesthu | 2024-06-28T20:31:35Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:33Z |
# hannesthu/make_histogram
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_interleave_reverse | hannesthu | 2024-06-28T20:31:39Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:36Z |
# hannesthu/make_interleave_reverse
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_sine | hannesthu | 2024-06-28T20:31:43Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:40Z |
# hannesthu/make_sine
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_last_element | hannesthu | 2024-06-28T20:31:46Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:43Z |
# hannesthu/make_last_element
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_decrement_to_multiple_of_three | hannesthu | 2024-06-28T20:31:50Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:47Z |
# hannesthu/make_decrement_to_multiple_of_three
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_zero_even_indices | hannesthu | 2024-06-28T20:31:53Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:50Z |
# hannesthu/make_zero_even_indices
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_divide_by_length | hannesthu | 2024-06-28T20:31:56Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:53Z |
# hannesthu/make_divide_by_length
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_mirror_first_half | hannesthu | 2024-06-28T20:32:00Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:31:57Z |
# hannesthu/make_mirror_first_half
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_one_if_equal_to_next | hannesthu | 2024-06-28T20:32:04Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:01Z |
# hannesthu/make_one_if_equal_to_next
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_sum_with_next | hannesthu | 2024-06-28T20:32:07Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:04Z |
# hannesthu/make_sum_with_next
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_sorting | hannesthu | 2024-06-28T20:32:10Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:07Z |
# hannesthu/make_sorting
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_hyperbolic_sine | hannesthu | 2024-06-28T20:32:14Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:10Z |
# hannesthu/make_hyperbolic_sine
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_binarize | hannesthu | 2024-06-28T20:32:18Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:15Z |
# hannesthu/make_binarize
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_apply_threshold | hannesthu | 2024-06-28T20:32:21Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:18Z |
# hannesthu/make_apply_threshold
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_rotate_left | hannesthu | 2024-06-28T20:32:24Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:21Z |
# hannesthu/make_rotate_left
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_cosine | hannesthu | 2024-06-28T20:32:28Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:25Z |
# hannesthu/make_cosine
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_square_each_element | hannesthu | 2024-06-28T20:32:31Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:28Z |
# hannesthu/make_square_each_element
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_count_greater_than | hannesthu | 2024-06-28T20:32:34Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:31Z |
# hannesthu/make_count_greater_than
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_count_frequency | hannesthu | 2024-06-28T20:32:38Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:35Z |
# hannesthu/make_count_frequency
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_average_first_last | hannesthu | 2024-06-28T20:32:41Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:38Z |
# hannesthu/make_average_first_last
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_sort | hannesthu | 2024-06-28T20:32:44Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:42Z |
# hannesthu/make_sort
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_increment | hannesthu | 2024-06-28T20:32:48Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:45Z |
# hannesthu/make_increment
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_alternate_elements | hannesthu | 2024-06-28T20:32:51Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:48Z |
# hannesthu/make_alternate_elements
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_pairwise_sum | hannesthu | 2024-06-28T20:32:55Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:53Z |
# hannesthu/make_pairwise_sum
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_scale_by_max | hannesthu | 2024-06-28T20:32:59Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:32:56Z |
# hannesthu/make_scale_by_max
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_pairwise_max | hannesthu | 2024-06-28T20:33:02Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:00Z |
# hannesthu/make_pairwise_max
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_multiply_by_length | hannesthu | 2024-06-28T20:33:06Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:03Z |
# hannesthu/make_multiply_by_length
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_position | hannesthu | 2024-06-28T20:33:09Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:07Z |
# hannesthu/make_position
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_nth_fibonacci | hannesthu | 2024-06-28T20:33:13Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:10Z |
# hannesthu/make_nth_fibonacci
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_first_element | hannesthu | 2024-06-28T20:33:16Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:13Z |
# hannesthu/make_first_element
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_arctangent | hannesthu | 2024-06-28T20:33:19Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:17Z |
# hannesthu/make_arctangent
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_mask_sequence | hannesthu | 2024-06-28T20:33:23Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:20Z |
# hannesthu/make_mask_sequence
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_element_subtract_constant | hannesthu | 2024-06-28T20:33:26Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:23Z |
# hannesthu/make_element_subtract_constant
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
youssefabdelmottaleb/swin-tiny-patch4-window7-224-SWIN-Transformer-5epochs-aziz | youssefabdelmottaleb | 2024-06-28T20:33:24Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:24Z | Entry not found |
hannesthu/make_element_double | hannesthu | 2024-06-28T20:33:30Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:27Z |
# hannesthu/make_element_double
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_decrement | hannesthu | 2024-06-28T20:33:33Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:30Z |
# hannesthu/make_decrement
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_increment_to_multiple_of_three | hannesthu | 2024-06-28T20:33:36Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:33Z |
# hannesthu/make_increment_to_multiple_of_three
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
hannesthu/make_set_to_median | hannesthu | 2024-06-28T20:33:40Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:33:37Z |
# hannesthu/make_set_to_median
This is a custom model created using TransformerLens.
Files:
- tl_model.pt: The PyTorch model file
- input&output_encoder.pkl: The input and output encoder
|
ferchaure/test | ferchaure | 2024-06-28T20:39:21Z | 0 | 0 | null | [
"license:mit",
"region:us"
]
| null | 2024-06-28T20:39:21Z | ---
license: mit
---
|
DrBohne/voicedetect | DrBohne | 2024-06-28T20:39:39Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T20:39:39Z | Entry not found |
sulph/GodXDantionTests | sulph | 2024-06-28T21:04:48Z | 0 | 1 | null | [
"license:bigscience-openrail-m",
"region:us"
]
| null | 2024-06-28T20:43:39Z | ---
license: bigscience-openrail-m
---
|
Xenova/gemma-2-tokenizer | Xenova | 2024-06-28T20:49:00Z | 0 | 1 | null | [
"region:us"
]
| null | 2024-06-28T20:48:12Z | Entry not found |
KoljaB/ONNX | KoljaB | 2024-06-28T20:48:31Z | 0 | 0 | null | [
"onnx",
"license:apache-2.0",
"region:us"
]
| null | 2024-06-28T20:48:13Z | ---
license: apache-2.0
---
|
kgyamfi/videomae-base-finetuned-ucf101-subset | kgyamfi | 2024-06-30T06:32:00Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"videomae",
"video-classification",
"endpoints_compatible",
"region:us"
]
| video-classification | 2024-06-28T20:49:32Z | Entry not found |
tctrautman/20240628-kibbe-training-model-data-3x-att2 | tctrautman | 2024-06-28T20:49:45Z | 0 | 0 | null | [
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
]
| null | 2024-06-28T20:49:41Z | ---
license: apache-2.0
base_model: HuggingFaceM4/idefics2-8b
tags:
- generated_from_trainer
model-index:
- name: 20240628-kibbe-training-model-data-3x-att2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dubs/Kibbe-Training/runs/x4ctdc82)
# 20240628-kibbe-training-model-data-3x-att2
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3636
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.4437 | 0.5002 | 1032 | 0.4041 |
| 0.4132 | 1.0005 | 2064 | 0.3730 |
| 0.4227 | 1.5007 | 3096 | 0.3636 |
### Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
iremmd/lora_model_real | iremmd | 2024-06-28T20:56:12Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-28T20:55:49Z | ---
base_model: unsloth/llama-3-8b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
# Uploaded model
- **Developed by:** iremmd
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
rashid996958/pix2pix_exp38 | rashid996958 | 2024-06-28T21:01:37Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T21:01:32Z | Entry not found |
Priyank-250/llama2-7b-bnb-4bit-freshworks-docs | Priyank-250 | 2024-06-28T21:02:54Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-2-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-28T21:02:42Z | ---
base_model: unsloth/llama-2-7b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
# Uploaded model
- **Developed by:** Priyank-250
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
kaitchup/Llama-3-8B-4bit-AutoRound-GPTQ | kaitchup | 2024-06-28T21:09:38Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"auto-gptq",
"AutoRound",
"en",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"gptq",
"region:us"
]
| text-generation | 2024-06-28T21:05:33Z | ---
language:
- en
library_name: transformers
license: cc-by-4.0
tags:
- auto-gptq
- AutoRound
extra_gated_prompt: This model is exclusively available to paid subscribers of [The
Kaitchup](https://kaitchup.substack.com/). To gain access, [subscribe to The Kaitchup](https://kaitchup.substack.com/)
for either a monthly or yearly paid plan. Once subscribed, you will receive an access
token by email and will have access to all the models listed on [this page](https://kaitchup.substack.com/p/models).
---
## Model Details
This is [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) quantized with AutoRound and serialized with the GPTQ format in 4-bit. The model has been created, tested, and evaluated by The Kaitchup.
Details on the AutoRound quantization process and how to use the model here:
[Intel AutoRound: Accurate Low-bit Quantization for LLMs](https://kaitchup.substack.com/p/intel-autoround-accurate-low-bit)
- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
- **Language(s) (NLP):** English
- **License:** cc-by-4.0
|
AkumaLucif3r/ChizuruBotv3 | AkumaLucif3r | 2024-06-28T21:11:44Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T21:11:44Z | Entry not found |
ILKT/2024-06-22_12-37-29_epoch_16 | ILKT | 2024-06-28T21:11:57Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:11:56Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_17 | ILKT | 2024-06-28T21:12:15Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:12:14Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_18 | ILKT | 2024-06-28T21:12:32Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:12:32Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_19 | ILKT | 2024-06-28T21:12:51Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:12:50Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
AIGym/edugpt-tokenizer-only | AIGym | 2024-06-28T21:12:56Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T21:12:51Z | Entry not found |
kaitchup/Llama-3-8B-4bit-Symm-AutoRound-GPTQ | kaitchup | 2024-06-28T21:18:37Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"auto-gptq",
"AutoRound",
"en",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"gptq",
"region:us"
]
| text-generation | 2024-06-28T21:12:52Z | ---
language:
- en
library_name: transformers
license: cc-by-4.0
tags:
- auto-gptq
- AutoRound
extra_gated_prompt: This model is exclusively available to paid subscribers of [The
Kaitchup](https://kaitchup.substack.com/). To gain access, [subscribe to The Kaitchup](https://kaitchup.substack.com/)
for either a monthly or yearly paid plan. Once subscribed, you will receive an access
token by email and will have access to all the models listed on [this page](https://kaitchup.substack.com/p/models).
---
## Model Details
This is [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) quantized with AutoRound (symmetric quantization for faster inference) and serialized with the GPTQ format in 4-bit. The model has been created, tested, and evaluated by The Kaitchup.
Details on the AutoRound quantization process and how to use the model here:
[Intel AutoRound: Accurate Low-bit Quantization for LLMs](https://kaitchup.substack.com/p/intel-autoround-accurate-low-bit)
- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
- **Language(s) (NLP):** English
- **License:** cc-by-4.0
|
ILKT/2024-06-22_12-37-29_epoch_20 | ILKT | 2024-06-28T21:13:08Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:13:08Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_21 | ILKT | 2024-06-28T21:13:26Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:13:26Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_22 | ILKT | 2024-06-28T21:13:45Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:13:44Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_23 | ILKT | 2024-06-28T21:14:02Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:14:02Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ibibek/mero_nepali_chatgpt | ibibek | 2024-06-28T21:14:36Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-Instruct-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-28T21:14:15Z | ---
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
# Uploaded model
- **Developed by:** ibibek
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
ILKT/2024-06-22_12-37-29_epoch_24 | ILKT | 2024-06-28T21:14:20Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:14:19Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_25 | ILKT | 2024-06-28T21:14:38Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:14:37Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_26 | ILKT | 2024-06-28T21:14:56Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:14:55Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_27 | ILKT | 2024-06-28T21:15:16Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:15:14Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_28 | ILKT | 2024-06-28T21:15:34Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:15:33Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_29 | ILKT | 2024-06-28T21:15:52Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:15:51Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_30 | ILKT | 2024-06-28T21:16:10Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:16:09Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_31 | ILKT | 2024-06-28T21:16:28Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:16:27Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_32 | ILKT | 2024-06-28T21:16:45Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:16:45Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_33 | ILKT | 2024-06-28T21:17:03Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:17:02Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_34 | ILKT | 2024-06-28T21:17:21Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:17:20Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_35 | ILKT | 2024-06-28T21:17:38Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:17:38Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_36 | ILKT | 2024-06-28T21:17:57Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:17:56Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_37 | ILKT | 2024-06-28T21:18:14Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:18:14Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_38 | ILKT | 2024-06-28T21:18:32Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:18:31Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_39 | ILKT | 2024-06-28T21:18:50Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:18:49Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_40 | ILKT | 2024-06-28T21:19:08Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:19:07Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_41 | ILKT | 2024-06-28T21:19:25Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:19:25Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_42 | ILKT | 2024-06-28T21:19:43Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:19:43Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_43 | ILKT | 2024-06-28T21:20:01Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:20:00Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_44 | ILKT | 2024-06-28T21:20:19Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:20:18Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_45 | ILKT | 2024-06-28T21:20:37Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:20:36Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_46 | ILKT | 2024-06-28T21:20:54Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:20:54Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_47 | ILKT | 2024-06-28T21:21:12Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:21:12Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
dan209/gomivit | dan209 | 2024-06-28T21:21:14Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-28T21:21:14Z | Entry not found |
ILKT/2024-06-22_12-37-29_epoch_48 | ILKT | 2024-06-28T21:21:31Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:21:30Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
ILKT/2024-06-22_12-37-29_epoch_49 | ILKT | 2024-06-28T21:21:49Z | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"sentence-similarity",
"mteb",
"feature-extraction",
"en",
"pl",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| sentence-similarity | 2024-06-28T21:21:48Z | ---
language:
- en
- pl
model-index:
- name: PLACEHOLDER
results: []
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---
|
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