Instructions to use stoerpas/vit-mushroom-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stoerpas/vit-mushroom-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="stoerpas/vit-mushroom-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("stoerpas/vit-mushroom-classifier") model = AutoModelForImageClassification.from_pretrained("stoerpas/vit-mushroom-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e26fbee86400cd6a1e8c13bad14f02280b080d31194ec2634540c823d1357d9c
- Size of remote file:
- 5.27 kB
- SHA256:
- b1315084a9feafe66abf5259a7b0570b31981380bf8689b12e5be9454e258c03
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