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Sebastianpinar
/
lora2-61

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
1

Instructions to use Sebastianpinar/lora2-61 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sebastianpinar/lora2-61 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Sebastianpinar/lora2-61")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("Sebastianpinar/lora2-61")
    model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora2-61")
  • Notebooks
  • Google Colab
  • Kaggle
lora2-61
2.44 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 52 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
e86d8c4 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • config.json
    14.7 kB
    Training in progress, epoch 1 almost 3 years ago
  • model.safetensors
    1.22 GB
    xet
    Adding `safetensors` variant of this model 12 months ago
  • preprocessor_config.json
    325 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • pytorch_model.bin
    1.22 GB
    xet
    Training in progress, epoch 50 almost 3 years ago
  • training_args.bin
    4.09 kB
    xet
    Training in progress, epoch 1 almost 3 years ago