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citclass
/
citclass_small_91

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

Instructions to use citclass/citclass_small_91 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use citclass/citclass_small_91 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="citclass/citclass_small_91", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("citclass/citclass_small_91", trust_remote_code=True)
    model = AutoModelForSequenceClassification.from_pretrained("citclass/citclass_small_91", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
citclass_small_91
267 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
citclass's picture
citclass
Upload tokenizer
26a40f4 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • added_tokens.json
    117 Bytes
    Upload tokenizer almost 3 years ago
  • classifier.py
    1.12 kB
    Upload DistilBertClassifier almost 3 years ago
  • config.json
    730 Bytes
    Upload DistilBertClassifier almost 3 years ago
  • pytorch_model.bin
    267 MB
    xet
    Upload DistilBertClassifier almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    713 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    320 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 3 years ago