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AutoCyberAI
/
crp-intent-setfit

Text Classification
setfit
Safetensors
sentence-transformers
bert
crp
context-relay-protocol
intent-classification
speech-acts
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • setfit

    How to use AutoCyberAI/crp-intent-setfit with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("AutoCyberAI/crp-intent-setfit")
  • sentence-transformers

    How to use AutoCyberAI/crp-intent-setfit with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("AutoCyberAI/crp-intent-setfit")
    
    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
crp-intent-setfit
91.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ConstantinosVidiniotis's picture
ConstantinosVidiniotis
Complete model card: verified metrics, training data, usage, limitations
0d5d600 verified 3 days ago
  • 1_Pooling
    Push model using huggingface_hub. 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    2.65 kB
    Complete model card: verified metrics, training data, usage, limitations 3 days ago
  • config.json
    636 Bytes
    Push model using huggingface_hub. 6 days ago
  • config_sentence_transformers.json
    295 Bytes
    Push model using huggingface_hub. 6 days ago
  • config_setfit.json
    127 Bytes
    Push model using huggingface_hub. 6 days ago
  • model.safetensors
    90.9 MB
    xet
    Push model using huggingface_hub. 6 days ago
  • model_head.pkl

    Detected Pickle imports (4)

    • "sklearn.linear_model._logistic.LogisticRegression",
    • "numpy.ndarray",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "numpy.dtype"

    How to fix it?

    7.16 kB
    xet
    Push model using huggingface_hub. 6 days ago
  • modules.json
    448 Bytes
    Push model using huggingface_hub. 6 days ago
  • sentence_bert_config.json
    250 Bytes
    Push model using huggingface_hub. 6 days ago
  • special_tokens_map.json
    732 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.53 kB
    Push model using huggingface_hub. 6 days ago
  • vocab.txt
    232 kB
    Push model using huggingface_hub. 6 days ago