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ChasingMercer
/
weather-base

Image Classification
Transformers
PyTorch
TensorBoard
beit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use ChasingMercer/weather-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ChasingMercer/weather-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ChasingMercer/weather-base")
    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("ChasingMercer/weather-base")
    model = AutoModelForImageClassification.from_pretrained("ChasingMercer/weather-base")
  • Notebooks
  • Google Colab
  • Kaggle
weather-base
347 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
ChasingMercer's picture
ChasingMercer
f
a0cdeff about 3 years ago
  • .ipynb_checkpoints
    f about 3 years ago
  • runs
    f about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 0 about 3 years ago
  • README.md
    2.09 kB
    update model card README.md about 3 years ago
  • all_results.json
    207 Bytes
    f about 3 years ago
  • config.json
    1.57 kB
    Training in progress, epoch 0 about 3 years ago
  • preprocessor_config.json
    494 Bytes
    Training in progress, epoch 0 about 3 years ago
  • pytorch_model.bin
    347 MB
    xet
    Training in progress, epoch 4 about 3 years ago
  • train_results.json
    207 Bytes
    f about 3 years ago
  • trainer_state.json
    14.4 kB
    f about 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Training in progress, epoch 0 about 3 years ago