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HasinMDG
/
SDeberta-base-v0

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

Instructions to use HasinMDG/SDeberta-base-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use HasinMDG/SDeberta-base-v0 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("HasinMDG/SDeberta-base-v0")
    
    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]
  • setfit

    How to use HasinMDG/SDeberta-base-v0 with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("HasinMDG/SDeberta-base-v0")
  • Notebooks
  • Google Colab
  • Kaggle
SDeberta-base-v0
747 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
HasinMDG's picture
HasinMDG
Add model
705ca31 about 3 years ago
  • 1_Pooling
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  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.55 kB
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  • added_tokens.json
    23 Bytes
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  • config.json
    1.04 kB
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  • config_sentence_transformers.json
    118 Bytes
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  • model_head.pkl
    14.1 kB
    xet
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  • modules.json
    229 Bytes
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  • pytorch_model.bin
    735 MB
    xet
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    173 Bytes
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  • spm.model
    2.46 MB
    xet
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  • tokenizer.json
    8.65 MB
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  • tokenizer_config.json
    438 Bytes
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