Instructions to use prithivMLmods/Indian-Western-Food-34 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Indian-Western-Food-34 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Indian-Western-Food-34") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Indian-Western-Food-34") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Indian-Western-Food-34", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prithivMLmods/Indian-Western-Food-34: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/prithivMLmods/Indian-Western-Food-34/resolve/main/training_args.bin
- Command line
-
hf download hf://prithivMLmods/Indian-Western-Food-34/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prithivMLmods/Indian-Western-Food-34/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 3f969d76e40d2136dea664e1b03fb4c91ff006862f21f8f5d779d29492a0c112
- Size of remote file:
- 5.3 kB
- SHA256:
- 6c72e8d1fb4783fc60417c45a864c19da3b014e0ded8c82006ea1defcd597e61
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