Instructions to use Matthijs/snacks-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/snacks-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Matthijs/snacks-classifier") 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("Matthijs/snacks-classifier") model = AutoModelForImageClassification.from_pretrained("Matthijs/snacks-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24719098c3934e5ab27f70a42cb3b796e3207db6919de3006f43d1b4ba992da2
- Size of remote file:
- 110 MB
- SHA256:
- 8da7942235317e2dbcd13410fc5895273932ce0a6018ab499639b6582f8895d1
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