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")# 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
- Xet hash:
- 75a915124c30d6f4c14e0771ed168e7bbc5d656ef638dada7bcdd69d8415cfea
- Size of remote file:
- 5.3 kB
- SHA256:
- 1bff73d072beca8c44b79880bc2556032f2ac7f5431580d9d5e02d1c742b4426
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