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transformersbook
/
distilbert-base-uncased-distilled-clinc

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use transformersbook/distilbert-base-uncased-distilled-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use transformersbook/distilbert-base-uncased-distilled-clinc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="transformersbook/distilbert-base-uncased-distilled-clinc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("transformersbook/distilbert-base-uncased-distilled-clinc")
    model = AutoModelForSequenceClassification.from_pretrained("transformersbook/distilbert-base-uncased-distilled-clinc", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-uncased-distilled-clinc
269 MB
Ctrl+K
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  • 2 contributors
History: 5 commits

This model has 1 file scanned as suspicious.

lvwerra's picture
lvwerra HF Staff
Update README.md
0bebc77 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit almost 5 years ago
  • .gitignore
    13 Bytes
    Training complete almost 5 years ago
  • README.md
    2.59 kB
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  • config.json
    8.21 kB
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  • emissions.csv
    465 Bytes
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  • pytorch_model.bin
    268 MB
    xet
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    466 kB
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  • tokenizer_config.json
    333 Bytes
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  • training_args.bin
    2.99 kB
    xet
    Training complete almost 5 years ago
  • vocab.txt
    232 kB
    Training complete almost 5 years ago