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Wadden
/
distilbert-sentiment-demo

Text Classification
Transformers
ONNX
Safetensors
English
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Wadden/distilbert-sentiment-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Wadden/distilbert-sentiment-demo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Wadden/distilbert-sentiment-demo")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Wadden/distilbert-sentiment-demo")
    model = AutoModelForSequenceClassification.from_pretrained("Wadden/distilbert-sentiment-demo", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-sentiment-demo
336 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Wadden's picture
Wadden
Link the interactive ONNX Space
c14e65b verified about 2 months ago
  • onnx
    Add quantized ONNX model for browser inference about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    783 Bytes
    Link the interactive ONNX Space about 2 months ago
  • config.json
    784 Bytes
    Training in progress, epoch 1 about 2 months ago
  • model.safetensors
    268 MB
    xet
    Training in progress, epoch 2 about 2 months ago
  • tokenizer.json
    711 kB
    Training in progress, epoch 1 about 2 months ago
  • tokenizer_config.json
    351 Bytes
    Training in progress, epoch 1 about 2 months ago
  • training_args.bin
    5.39 kB
    xet
    Training in progress, epoch 1 about 2 months ago