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sy12ssss
/
absa-deberta-v3

Text Classification
Transformers
ONNX
Safetensors
English
deberta-v2
sentiment-analysis
aspect-based-sentiment-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sy12ssss/absa-deberta-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sy12ssss/absa-deberta-v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sy12ssss/absa-deberta-v3")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sy12ssss/absa-deberta-v3")
    model = AutoModelForSequenceClassification.from_pretrained("sy12ssss/absa-deberta-v3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
absa-deberta-v3
990 MB
Ctrl+K
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  • 1 contributor
History: 13 commits
sy12ssss's picture
sy12ssss
Update README.md
ae74dd8 verified about 1 month ago
  • onnx
    Upload onnx/model_quantized.onnx with huggingface_hub about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    1.09 kB
    Update README.md about 1 month ago
  • calibration.json
    34 Bytes
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  • calibration_onnx.json
    33 Bytes
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  • classification_report.txt
    380 Bytes
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  • config.json
    1.11 kB
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  • confusion_matrix.png
    42 kB
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  • model.safetensors
    738 MB
    xet
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  • tokenizer.json
    8.34 MB
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  • tokenizer_config.json
    496 Bytes
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