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louisbrulenaudet
/
tsdae-lemone-mbert-base

Sentence Similarity
sentence-transformers
PyTorch
JAX
Safetensors
Transformers
French
bert
feature-extraction
legal
french-law
droit français
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use louisbrulenaudet/tsdae-lemone-mbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use louisbrulenaudet/tsdae-lemone-mbert-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("louisbrulenaudet/tsdae-lemone-mbert-base")
    
    sentences = [
        "C'est une personne heureuse",
        "C'est un chien heureux",
        "C'est une personne très heureuse",
        "Aujourd'hui est une journée ensoleillée"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Transformers

    How to use louisbrulenaudet/tsdae-lemone-mbert-base with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("louisbrulenaudet/tsdae-lemone-mbert-base")
    model = AutoModel.from_pretrained("louisbrulenaudet/tsdae-lemone-mbert-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tsdae-lemone-mbert-base
2.01 GB
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  • 1 contributor
History: 15 commits
louisbrulenaudet's picture
louisbrulenaudet
Delete tf_model.h5
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  • config.json
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  • config_sentence_transformers.json
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  • flax_model.msgpack
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  • model.safetensors
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  • modules.json
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  • pytorch_model.bin
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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