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Thibault-GAREL
/
opener-sup

Token Classification
sentence-transformers
Safetensors
GLiNER
nomic_bert
named-entity-recognition
open-world-ner
entity-typing
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Thibault-GAREL/opener-sup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Thibault-GAREL/opener-sup with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Thibault-GAREL/opener-sup", trust_remote_code=True)
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • GLiNER

    How to use Thibault-GAREL/opener-sup with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("Thibault-GAREL/opener-sup")
  • Notebooks
  • Google Colab
  • Kaggle
opener-sup
548 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Thibault-GAREL's picture
Thibault-GAREL
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • configuration_hf_nomic_bert.py
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  • model.safetensors
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  • modeling_hf_nomic_bert.py
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  • modules.json
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  • sentence_bert_config.json
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  • tokenizer.json
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