Instructions to use prithivMLmods/Food-101-93M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Food-101-93M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Food-101-93M") 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/Food-101-93M") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Food-101-93M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-4736/optimizer.pt from prithivMLmods/Food-101-93M: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/prithivMLmods/Food-101-93M/resolve/main/checkpoint-4736/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/Food-101-93M/checkpoint-4736/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/Food-101-93M/resolve/main/checkpoint-4736/optimizer.pt
687 MB
- Xet hash:
- c2d70f2addec477719c9c0a3c75bc293bad24d119fa8309e2670429464559c8e
- Size of remote file:
- 687 MB
- SHA256:
- f50d64f683e80f4dfa9d89e21f69dd6ac8f708560bb690b5c062e765199595ef
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