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jcfossati
/
ForSureLLM

Text Classification
ONNX
sentence-transformers
French
English
yes-no
intent-classification
distillation
edge
quantization
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use jcfossati/ForSureLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use jcfossati/ForSureLLM with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("jcfossati/ForSureLLM")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
ForSureLLM
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
jcfossati's picture
jcfossati
add pruned tokenizer
3d2d860 verified 14 days ago
  • .gitattributes
    1.52 kB
    initial commit 16 days ago
  • README.md
    5.49 kB
    Update README.md 14 days ago
  • forsurellm-int8.onnx
    118 MB
    xet
    update ONNX checkpoint 14 days ago
  • forsurellm-int8_fr-en.onnx
    24.3 MB
    xet
    Upload forsurellm-int8_fr-en.onnx 14 days ago
  • tokenizer_fr-en.json
    500 kB
    add pruned tokenizer 14 days ago