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CLAUSE-Bielefeld
/
InvDef-DeBERTa

Feature Extraction
Transformers
Safetensors
English
deberta
embedding
scientific
abstract
Model card Files Files and versions
xet
Community

Instructions to use CLAUSE-Bielefeld/InvDef-DeBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CLAUSE-Bielefeld/InvDef-DeBERTa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="CLAUSE-Bielefeld/InvDef-DeBERTa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("CLAUSE-Bielefeld/InvDef-DeBERTa")
    model = AutoModel.from_pretrained("CLAUSE-Bielefeld/InvDef-DeBERTa")
  • Notebooks
  • Google Colab
  • Kaggle
InvDef-DeBERTa
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  • 1 contributor
History: 4 commits
marcfelix12's picture
marcfelix12
Update README.md
c21a085 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    4.11 kB
    Update README.md 6 months ago
  • config.json
    740 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    554 MB
    xet
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  • special_tokens_map.json
    969 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.34 kB
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  • vocab.json
    798 kB
    Upload tokenizer 7 months ago