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silkski
/
verb-class

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

Instructions to use silkski/verb-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use silkski/verb-class with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="silkski/verb-class")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("silkski/verb-class")
    model = AutoModelForSequenceClassification.from_pretrained("silkski/verb-class")
  • Notebooks
  • Google Colab
  • Kaggle
verb-class
502 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
silkski's picture
silkski
Upload 10 files
5b0c415 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    23 Bytes
    initial commit about 3 years ago
  • config.json
    735 Bytes
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  • eval_results.txt
    147 Bytes
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  • merges.txt
    456 kB
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  • model_args.json
    2.62 kB
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  • pytorch_model.bin
    499 MB
    xet
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    377 Bytes
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  • training_args.bin
    3.2 kB
    xet
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  • vocab.json
    798 kB
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