Instructions to use prithivMLmods/TurkishFoods-25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/TurkishFoods-25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/TurkishFoods-25") 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/TurkishFoods-25") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/TurkishFoods-25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 528cb3ed3f6d55baf7c42e1de22c432c5abf611f9d27cfacfa1b1f36e87bcf5a
- Size of remote file:
- 687 MB
- SHA256:
- ea3b7468496121c50984e1997e3439fb416b529e45afe5ac5c74aab7c4e16d7d
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