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pmpc
/
xlm-roberta-base2longformer-8192

Feature Extraction
Transformers
google-tensorflow TensorFlow
longformer
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use pmpc/xlm-roberta-base2longformer-8192 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pmpc/xlm-roberta-base2longformer-8192 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="pmpc/xlm-roberta-base2longformer-8192")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("pmpc/xlm-roberta-base2longformer-8192")
    model = AutoModel.from_pretrained("pmpc/xlm-roberta-base2longformer-8192", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-base2longformer-8192
1.24 GB
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  • 1 contributor
History: 3 commits
pmpc's picture
pmpc
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a32ebc8 over 3 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • sentencepiece.bpe.model
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  • special_tokens_map.json
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  • tf_model.h5
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  • tokenizer.json
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  • tokenizer_config.json
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