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tkuye
/
tiny-jdc

Text Classification
Transformers
PyTorch
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use tkuye/tiny-jdc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tkuye/tiny-jdc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tkuye/tiny-jdc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tkuye/tiny-jdc")
    model = AutoModelForSequenceClassification.from_pretrained("tkuye/tiny-jdc")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-jdc
411 kB
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  • 2 contributors
History: 3 commits
tkuye's picture
tkuye
Upload tokenizer
ea1c59b over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    973 Bytes
    Upload DistilBertForSequenceClassification over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    380 kB
    xet
    Upload DistilBertForSequenceClassification over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    23.2 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    379 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    4.68 kB
    Upload tokenizer over 3 years ago