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L-NLProc
/
PredEx_XLNet_Large_Pred

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

Instructions to use L-NLProc/PredEx_XLNet_Large_Pred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use L-NLProc/PredEx_XLNet_Large_Pred with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="L-NLProc/PredEx_XLNet_Large_Pred")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("L-NLProc/PredEx_XLNet_Large_Pred")
    model = AutoModel.from_pretrained("L-NLProc/PredEx_XLNet_Large_Pred")
  • Notebooks
  • Google Colab
  • Kaggle
PredEx_XLNet_Large_Pred
1.44 GB
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  • 1 contributor
History: 3 commits
ShubhamKumarNigam's picture
ShubhamKumarNigam
Upload tokenizer
9e6a015 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    31 Bytes
    initial commit almost 2 years ago
  • config.json
    964 Bytes
    Upload model almost 2 years ago
  • model.safetensors
    1.44 GB
    xet
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  • special_tokens_map.json
    1.03 kB
    Upload tokenizer almost 2 years ago
  • spiece.model
    798 kB
    xet
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  • tokenizer.json
    2.41 MB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    2 kB
    Upload tokenizer almost 2 years ago