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smenaaliaga
/
pibot-intent-router

Text Classification
PyTorch
Safetensors
sentence-transformers
Spanish
multitask-learning
spanish
intent-classification
Model card Files Files and versions
xet
Community

Instructions to use smenaaliaga/pibot-intent-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use smenaaliaga/pibot-intent-router with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("smenaaliaga/pibot-intent-router")
    
    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

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  • 1_Pooling
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
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    xet
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  • modules.json
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  • sentence_bert_config.json
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  • tokenizer.json
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  • tokenizer_config.json
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