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medhabi
/
distilbert-base-uncased-score-pred

Transformers
PyTorch
text-to-rating
Model card Files Files and versions
xet
Community

Instructions to use medhabi/distilbert-base-uncased-score-pred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use medhabi/distilbert-base-uncased-score-pred with Transformers:

    # Load model directly
    from transformers import BERTTextToRating
    model = BERTTextToRating.from_pretrained("medhabi/distilbert-base-uncased-score-pred", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-uncased-score-pred
3.45 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
medhabi's picture
medhabi
add model
95d3604 over 4 years ago
  • checkponts
    add model over 4 years ago
  • .gitattributes
    1.22 kB
    initial commit over 4 years ago
  • .gitignore
    24 Bytes
    add model over 4 years ago
  • config.json
    284 Bytes
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  • info.txt
    818 Bytes
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  • pytorch_model.bin
    266 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    112 Bytes
    Training in progress epoch 0 over 4 years ago
  • tokenizer.json
    712 kB
    Training in progress epoch 0 over 4 years ago
  • tokenizer_config.json
    354 Bytes
    Training in progress epoch 0 over 4 years ago
  • vocab.txt
    232 kB
    Training in progress epoch 0 over 4 years ago