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TuringGame
/
distilbert-base-uncased-classifier

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use TuringGame/distilbert-base-uncased-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TuringGame/distilbert-base-uncased-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="TuringGame/distilbert-base-uncased-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TuringGame/distilbert-base-uncased-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("TuringGame/distilbert-base-uncased-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-uncased-classifier
269 MB
Ctrl+K
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  • 1 contributor
History: 31 commits
29thDay's picture
29thDay
End of training
24382d6 verified about 1 year ago
  • .gitattributes
    54 Bytes
    Training in progress, step 79 about 1 year ago
  • README.md
    2.24 kB
    End of training about 1 year ago
  • config.json
    674 Bytes
    Training in progress, step 79 about 1 year ago
  • model.safetensors
    268 MB
    xet
    End of training about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 79 about 1 year ago
  • tokenizer.json
    711 kB
    Training in progress, step 79 about 1 year ago
  • tokenizer_config.json
    1.23 kB
    Training in progress, step 79 about 1 year ago
  • training_args.bin
    5.78 kB
    Training in progress, step 79 about 1 year ago
  • vocab.txt
    232 kB
    Training in progress, step 79 about 1 year ago