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dleemiller
/
finecat-nli-l

Zero-Shot Classification
sentence-transformers
Safetensors
English
modernbert
cross-encoder
reranker
Generated from Trainer
dataset_size:1024986
loss:CrossEntropyLoss
mnli
snli
anli
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use dleemiller/finecat-nli-l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dleemiller/finecat-nli-l with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("dleemiller/finecat-nli-l")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
finecat-nli-l
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 32 commits
dleemiller's picture
dleemiller
Update README.md
c22f391 verified 21 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.62 kB
    Update README.md 21 days ago
  • config.json
    5.63 kB
    Upload folder using huggingface_hub about 1 year ago
  • model.safetensors
    1.58 GB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • special_tokens_map.json
    694 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    21 kB
    Upload folder using huggingface_hub about 1 year ago
  • training_config.yaml
    1.06 kB
    Upload training_config.yaml with huggingface_hub about 1 year ago