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nickmuchi
/
quantized-optimum-finbert-tone

Text Classification
Transformers
ONNX
Model card Files Files and versions
xet
Community

Instructions to use nickmuchi/quantized-optimum-finbert-tone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nickmuchi/quantized-optimum-finbert-tone with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nickmuchi/quantized-optimum-finbert-tone")
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("nickmuchi/quantized-optimum-finbert-tone", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
quantized-optimum-finbert-tone
184 MB
Ctrl+K
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  • 1 contributor
History: 16 commits
nickmuchi's picture
nickmuchi
Delete finbert-model-quantized.onnx
0399991 about 4 years ago
  • .gitattributes
    1.34 kB
    initial commit about 4 years ago
  • config.json
    757 Bytes
    Upload config.json with huggingface_hub about 4 years ago
  • model.onnx
    183 MB
    xet
    Upload model.onnx with huggingface_hub about 4 years ago
  • special_tokens_map.json
    125 Bytes
    Upload special_tokens_map.json with huggingface_hub about 4 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer.json with huggingface_hub about 4 years ago
  • tokenizer_config.json
    380 Bytes
    Upload tokenizer_config.json with huggingface_hub about 4 years ago
  • vocab.txt
    226 kB
    Upload vocab.txt with huggingface_hub about 4 years ago