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SIRIS-Lab
/
citation-parser-TYPE

Text Classification
Transformers
Safetensors
bert
citation
science
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use SIRIS-Lab/citation-parser-TYPE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SIRIS-Lab/citation-parser-TYPE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SIRIS-Lab/citation-parser-TYPE")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SIRIS-Lab/citation-parser-TYPE")
    model = AutoModelForSequenceClassification.from_pretrained("SIRIS-Lab/citation-parser-TYPE")
  • Notebooks
  • Google Colab
  • Kaggle
citation-parser-TYPE
717 MB
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  • 1 contributor
History: 13 commits
nicolauduran45's picture
nicolauduran45
Upload BertForSequenceClassification
3744ac8 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.85 kB
    Upload tokenizer about 1 year ago
  • config.json
    940 Bytes
    Upload BertForSequenceClassification 7 months ago
  • merges.txt
    456 kB
    Upload tokenizer 7 months ago
  • model.safetensors
    711 MB
    xet
    Upload BertForSequenceClassification 7 months ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 7 months ago
  • tokenizer.json
    2.92 MB
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    1.22 kB
    Upload tokenizer 7 months ago
  • vocab.json
    798 kB
    Upload tokenizer 7 months ago
  • vocab.txt
    996 kB
    Upload tokenizer almost 2 years ago