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arrafmousa
/
gpt2_encoder

Feature Extraction
Transformers
Safetensors
gpt2
Model card Files Files and versions
xet
Community

Instructions to use arrafmousa/gpt2_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arrafmousa/gpt2_encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="arrafmousa/gpt2_encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("arrafmousa/gpt2_encoder")
    model = AutoModel.from_pretrained("arrafmousa/gpt2_encoder")
  • Notebooks
  • Google Colab
  • Kaggle
gpt2_encoder
499 MB
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  • 1 contributor
History: 5 commits
arrafmousa's picture
arrafmousa
Upload tokenizer
c0e6b5c verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
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  • added_tokens.json
    24 Bytes
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  • config.json
    940 Bytes
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  • merges.txt
    506 kB
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  • model.safetensors
    498 MB
    xet
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  • special_tokens_map.json
    494 Bytes
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  • tokenizer_config.json
    579 Bytes
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  • vocab.json
    1.05 MB
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