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NaveenKumar96
/
intent-setfit-deberta-v1

Text Classification
setfit
Safetensors
sentence-transformers
deberta-v2
generated_from_setfit_trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use NaveenKumar96/intent-setfit-deberta-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • setfit

    How to use NaveenKumar96/intent-setfit-deberta-v1 with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("NaveenKumar96/intent-setfit-deberta-v1")
  • sentence-transformers

    How to use NaveenKumar96/intent-setfit-deberta-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NaveenKumar96/intent-setfit-deberta-v1")
    
    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
intent-setfit-deberta-v1 / checkpoints /checkpoint-800
2.21 GB
Ctrl+K
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  • 1 contributor
History: 1 commit
NaveenKumar96's picture
NaveenKumar96
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  • 1_Pooling
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  • README.md
    3.67 kB
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  • config.json
    902 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    735 MB
    xet
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  • modules.json
    277 Bytes
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  • optimizer.pt
    1.47 GB
    xet
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.47 kB
    xet
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  • sentence_bert_config.json
    241 Bytes
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  • tokenizer.json
    8.34 MB
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  • tokenizer_config.json
    480 Bytes
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  • trainer_state.json
    4.03 kB
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  • training_args.bin
    5.52 kB
    xet
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