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arjunsah21
/
embedder-snli

Feature Extraction
Transformers
Safetensors
English
bert
sentence-embeddings
contrastive-learning
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use arjunsah21/embedder-snli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arjunsah21/embedder-snli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="arjunsah21/embedder-snli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("arjunsah21/embedder-snli")
    model = AutoModel.from_pretrained("arjunsah21/embedder-snli")
  • Notebooks
  • Google Colab
  • Kaggle
embedder-snli
89.9 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
arjunsah21's picture
arjunsah21
Update README.md
eadc010 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    1.96 kB
    Update README.md 4 months ago
  • config.json
    575 Bytes
    Upload folder using huggingface_hub 4 months ago
  • model.safetensors
    89.5 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    310 kB
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  • tokenizer_config.json
    1.29 kB
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  • vocab.txt
    98.6 kB
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