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ummagumm-a
/
samolet_encoder_finetuned

Transformers
PyTorch
vit
masked-image-modeling
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use ummagumm-a/samolet_encoder_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ummagumm-a/samolet_encoder_finetuned with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, ViTForMaskedImageModeling
    
    processor = AutoImageProcessor.from_pretrained("ummagumm-a/samolet_encoder_finetuned")
    model = ViTForMaskedImageModeling.from_pretrained("ummagumm-a/samolet_encoder_finetuned")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • README.md
    2.83 kB
    update model card README.md almost 3 years ago
  • all_results.json
    309 Bytes
    End of training almost 3 years ago
  • config.json
    571 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • eval_results.json
    163 Bytes
    End of training almost 3 years ago
  • preprocessor_config.json
    325 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • pytorch_model.bin
    346 MB
    xet
    Model save almost 3 years ago
  • train_results.json
    167 Bytes
    End of training almost 3 years ago
  • trainer_state.json
    38.4 kB
    End of training almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    Training in progress, epoch 1 almost 3 years ago