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vedanthire
/
DONUT-LY-PROJECT

Transformers
PyTorch
TensorBoard
donut
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use vedanthire/DONUT-LY-PROJECT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vedanthire/DONUT-LY-PROJECT with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("vedanthire/DONUT-LY-PROJECT", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DONUT-LY-PROJECT
4.08 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
vedanthire's picture
vedanthire
Upload preprocessor_config.json
6350850 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • added_tokens.json
    1.64 kB
    Upload 11 files about 2 years ago
  • artifacts.ckpt
    1.61 GB
    xet
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  • config.json
    422 Bytes
    Rename preprocessor_config.json to config.json about 2 years ago
  • config.yaml
    623 Bytes
    Upload 11 files about 2 years ago
  • events.out.tfevents.1717315660.fad68a5c51fb.2698.0
    541 Bytes
    xet
    Upload 11 files about 2 years ago
  • hparams.yaml
    3 Bytes
    Upload 11 files about 2 years ago
  • model_checkpoint.ckpt
    1.61 GB
    xet
    Upload 11 files about 2 years ago
  • preprocessor_config.json
    362 Bytes
    Upload preprocessor_config.json about 2 years ago
  • pytorch_model.bin
    859 MB
    xet
    Upload 11 files about 2 years ago
  • sentencepiece.bpe.model
    1.3 MB
    xet
    Upload 11 files about 2 years ago
  • special_tokens_map.json
    348 Bytes
    Upload 11 files about 2 years ago
  • tokenizer_config.json
    591 Bytes
    Upload 11 files about 2 years ago