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IEETA
/
RobertaMultiHeadCRF-C32-1

Feature Extraction
Transformers
Safetensors
crf-tagger
custom_code
Model card Files Files and versions
xet
Community

Instructions to use IEETA/RobertaMultiHeadCRF-C32-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IEETA/RobertaMultiHeadCRF-C32-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="IEETA/RobertaMultiHeadCRF-C32-1", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("IEETA/RobertaMultiHeadCRF-C32-1", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
RobertaMultiHeadCRF-C32-1
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  • 1 contributor
History: 10 commits
T-Almeida's picture
T-Almeida
Upload tokenizer
2606587 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
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  • config.json
    1.39 kB
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  • configuration_multiheadcrf.py
    915 Bytes
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  • merges.txt
    521 kB
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  • model.safetensors
    532 MB
    xet
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  • modeling_multiheadcrf.py
    21.1 kB
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer.json
    2.24 MB
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  • tokenizer_config.json
    1.34 kB
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  • vocab.json
    863 kB
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