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fbaigt
/
proc_roberta

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

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

  • Libraries
  • Transformers

    How to use fbaigt/proc_roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="fbaigt/proc_roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("fbaigt/proc_roberta")
    model = AutoModel.from_pretrained("fbaigt/proc_roberta")
  • Notebooks
  • Google Colab
  • Kaggle
proc_roberta
500 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
Fan Bai
Update model card
02244bc over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.14 kB
    Update model card over 4 years ago
  • config.json
    475 Bytes
    Initial commit over 4 years ago
  • merges.txt
    456 kB
    Initial commit over 4 years ago
  • pytorch_model.bin
    499 MB
    xet
    Initial commit over 4 years ago
  • special_tokens_map.json
    150 Bytes
    Initial commit over 4 years ago
  • tokenizer_config.json
    166 Bytes
    Initial commit over 4 years ago
  • vocab.json
    899 kB
    Initial commit over 4 years ago