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InfoCoV
/
Cro-CoV-cseBERT

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use InfoCoV/Cro-CoV-cseBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use InfoCoV/Cro-CoV-cseBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="InfoCoV/Cro-CoV-cseBERT")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("InfoCoV/Cro-CoV-cseBERT")
    model = AutoModelForMaskedLM.from_pretrained("InfoCoV/Cro-CoV-cseBERT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Cro-CoV-cseBERT
1.49 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
InfoCoV's picture
InfoCoV
Update README.md
1dd9ad7 almost 5 years ago
  • .gitattributes
    1.18 kB
    initial commit about 5 years ago
  • README.md
    704 Bytes
    Update README.md almost 5 years ago
  • config.json
    614 Bytes
    Upload config.json about 5 years ago
  • eval_results.txt
    59 Bytes
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  • model_args.json
    2.93 kB
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  • optimizer.pt
    994 MB
    xet
    Upload optimizer.pt with git-lfs about 5 years ago
  • pytorch_model.bin
    497 MB
    xet
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  • scheduler.pt
    623 Bytes
    xet
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer_config.json
    358 Bytes
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  • training_args.bin
    3.5 kB
    xet
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  • vocab.txt
    329 kB
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