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CarlosRCDev
/
spanish-gte-multilingual-base

Sentence Similarity
sentence-transformers
Safetensors
Spanish
new
passage-retrieval
pruned
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use CarlosRCDev/spanish-gte-multilingual-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use CarlosRCDev/spanish-gte-multilingual-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("CarlosRCDev/spanish-gte-multilingual-base", trust_remote_code=True)
    
    sentences = [
        "Esa es una persona feliz",
        "Ese es un perro feliz",
        "Esa es una persona muy feliz",
        "Hoy es un día soleado"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
spanish-gte-multilingual-base
606 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
CarlosRCDev's picture
CarlosRCDev
Upload pruned model
dbfe903 verified about 1 year ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.49 kB
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  • config.json
    1.52 kB
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  • model.safetensors
    603 MB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    55 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    3.41 MB
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  • tokenizer_config.json
    1.18 kB
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