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jugu
/
setfit-keyword-query-classifier-ger

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use jugu/setfit-keyword-query-classifier-ger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jugu/setfit-keyword-query-classifier-ger with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jugu/setfit-keyword-query-classifier-ger")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("jugu/setfit-keyword-query-classifier-ger")
    model = AutoModel.from_pretrained("jugu/setfit-keyword-query-classifier-ger")
  • Notebooks
  • Google Colab
  • Kaggle
setfit-keyword-query-classifier-ger
503 MB
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  • 1 contributor
History: 5 commits
jugu's picture
jugu
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  • config.json
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  • config_sentence_transformers.json
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  • model_head.pkl
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  • modules.json
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    471 MB
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
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  • unigram.json
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