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rakib730
/
output-models

Image Classification
Transformers
Safetensors
English
vit
vision
fine-tuned
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use rakib730/output-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rakib730/output-models with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="rakib730/output-models")
    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("rakib730/output-models")
    model = AutoModelForImageClassification.from_pretrained("rakib730/output-models")
  • Notebooks
  • Google Colab
  • Kaggle
output-models
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  • 1 contributor
History: 45 commits
rakib730's picture
rakib730
Update README.md
99dbce1 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    3.47 kB
    Update README.md 9 months ago
  • config.json
    768 Bytes
    Training in progress, epoch 1 9 months ago
  • model.safetensors
    1.21 GB
    xet
    End of training 9 months ago
  • preprocessor_config.json
    351 Bytes
    Training in progress, epoch 1 9 months ago
  • training_args.bin
    5.24 kB
    xet
    Training in progress, epoch 1 9 months ago