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m-gopichand
/
token_classification

Token Classification
Transformers
Safetensors
roberta
Model card Files Files and versions
xet
Community

Instructions to use m-gopichand/token_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m-gopichand/token_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="m-gopichand/token_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("m-gopichand/token_classification")
    model = AutoModelForTokenClassification.from_pretrained("m-gopichand/token_classification")
  • Notebooks
  • Google Colab
  • Kaggle
token_classification
1.42 GB
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  • 1 contributor
History: 3 commits
m-gopichand's picture
m-gopichand
Upload tokenizer
b511ffa verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload RobertaForTokenClassification about 2 years ago
  • config.json
    2.51 kB
    Upload RobertaForTokenClassification about 2 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 2 years ago
  • model.safetensors
    1.42 GB
    xet
    Upload RobertaForTokenClassification about 2 years ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.35 kB
    Upload tokenizer about 2 years ago
  • vocab.json
    798 kB
    Upload tokenizer about 2 years ago