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fefofico
/
crisis_trained_allnat

Text Classification
setfit
Safetensors
sentence-transformers
qwen3
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • setfit

    How to use fefofico/crisis_trained_allnat with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("fefofico/crisis_trained_allnat")
  • sentence-transformers

    How to use fefofico/crisis_trained_allnat with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("fefofico/crisis_trained_allnat")
    
    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
crisis_trained_allnat
336 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
fefofico's picture
fefofico
Push model using huggingface_hub.
560db40 verified 14 days ago
  • 1_Pooling
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  • .gitattributes
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  • README.md
    9.8 kB
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  • added_tokens.json
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  • chat_template.jinja
    4.17 kB
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  • config.json
    911 Bytes
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  • config_sentence_transformers.json
    334 Bytes
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  • config_setfit.json
    85 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    320 MB
    xet
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  • model_head.pkl
    2.14 kB
    xet
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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
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  • vocab.json
    2.78 MB
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