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julia-pfarr
/
HarmoniCA_impulse-control

Text Classification
sentence-transformers
Safetensors
English
questionnaire-harmonization
prototype-learning
impulse-control
Model card Files Files and versions
xet
Community

Instructions to use julia-pfarr/HarmoniCA_impulse-control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use julia-pfarr/HarmoniCA_impulse-control with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("julia-pfarr/HarmoniCA_impulse-control")
    
    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
HarmoniCA_impulse-control / prototype_model_encoder
1.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
julia-pfarr's picture
julia-pfarr
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  • 1_Pooling
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  • 2_Dense
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  • README.md
    66.3 kB
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  • config.json
    1.55 kB
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  • config_sentence_transformers.json
    277 Bytes
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  • model.safetensors
    1.47 GB
    xet
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  • modules.json
    461 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    2.52 kB
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