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Mateo-Rua
/
embeddings-productos-ecommerce-es

Sentence Similarity
sentence-transformers
ONNX
Safetensors
Spanish
bert
embeddings
contrastive-learning
e-commerce
semantic-search
product-recommendation
spanish
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Mateo-Rua/embeddings-productos-ecommerce-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Mateo-Rua/embeddings-productos-ecommerce-es with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Mateo-Rua/embeddings-productos-ecommerce-es")
    
    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
embeddings-productos-ecommerce-es / onnx
470 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Mateo-Rua's picture
Mateo-Rua
Upload folder using huggingface_hub
5eff554 verified 5 days ago
  • model.onnx
    470 MB
    xet
    Upload folder using huggingface_hub 5 days ago