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namin0202
/
pna-roberta-large

Feature Extraction
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use namin0202/pna-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use namin0202/pna-roberta-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="namin0202/pna-roberta-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("namin0202/pna-roberta-large")
    model = AutoModel.from_pretrained("namin0202/pna-roberta-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pna-roberta-large
4.27 GB
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  • 1 contributor
History: 3 commits
namin0202's picture
namin0202
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bfe5929 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    31 Bytes
    initial commit about 2 years ago
  • config.json
    643 Bytes
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  • merges.txt
    456 kB
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  • optimizer.pt
    2.84 GB
    xet
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  • pytorch_model.bin
    1.42 GB
    xet
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  • scheduler.pt
    623 Bytes
    xet
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  • special_tokens_map.json
    239 Bytes
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  • tokenizer_config.json
    256 Bytes
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  • trainer_state.json
    1.65 kB
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  • training_args.bin
    2.1 kB
    xet
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  • vocab.json
    798 kB
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