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JusperLee
/
referential-dangling-detector

Text Classification
Transformers
Safetensors
English
bert
prompt-compression
dependency-detection
referential-dangling
research
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use JusperLee/referential-dangling-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JusperLee/referential-dangling-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JusperLee/referential-dangling-detector")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JusperLee/referential-dangling-detector")
    model = AutoModelForSequenceClassification.from_pretrained("JusperLee/referential-dangling-detector", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
referential-dangling-detector
439 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
JusperLee's picture
JusperLee
Add paper author information
0bc1365 verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    3.65 kB
    Add paper author information 5 days ago
  • config.json
    951 Bytes
    Upload dependency detector checkpoint 5 days ago
  • model.safetensors
    438 MB
    xet
    Upload dependency detector checkpoint 5 days ago
  • tokenizer.json
    712 kB
    Upload dependency detector checkpoint 5 days ago
  • tokenizer_config.json
    351 Bytes
    Upload dependency detector checkpoint 5 days ago