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uzaaft
/
bart_lfqa

Transformers
ONNX
bart
text2text-generation
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use uzaaft/bart_lfqa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("uzaaft/bart_lfqa")
    model = AutoModelForSeq2SeqLM.from_pretrained("uzaaft/bart_lfqa", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bart_lfqa / onnx
4.72 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
uzaaft's picture
uzaaft
Upload folder using huggingface_hub
3cdd73c over 2 years ago
  • decoder_model.onnx
    1.02 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • decoder_model_merged.onnx
    1.02 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • decoder_model_merged_quantized.onnx
    258 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • decoder_model_quantized.onnx
    257 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • decoder_with_past_model.onnx
    916 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • decoder_with_past_model_quantized.onnx
    231 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • encoder_model.onnx
    815 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • encoder_model_quantized.onnx
    205 MB
    xet
    Upload folder using huggingface_hub over 2 years ago