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alishudi
/
distil

Text Classification
Transformers
PyTorch
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use alishudi/distil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alishudi/distil with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="alishudi/distil")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("alishudi/distil")
    model = AutoModelForSequenceClassification.from_pretrained("alishudi/distil")
  • Notebooks
  • Google Colab
  • Kaggle
distil
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  • 1 contributor
History: 15 commits
alishudi's picture
alishudi
Upload tokenizer_config.json
3616361 over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • config.json
    629 Bytes
    Upload config.json over 3 years ago
  • git_log.json
    163 Bytes
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  • parameters.json
    1.44 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    268 MB
    xet
    add model almost 4 years ago
  • readme.md
    87 Bytes
    Upload readme.md with huggingface_hub almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    add tokenizer almost 4 years ago
  • tokenizer.json
    466 kB
    Upload tokenizer.json over 3 years ago
  • tokenizer_config.json
    28 Bytes
    Upload tokenizer_config.json over 3 years ago
  • vocab.txt
    232 kB
    add tokenizer almost 4 years ago