Instructions to use cogsci13/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cogsci13/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cogsci13/vit-base-beans") 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("cogsci13/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("cogsci13/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e05775536e458b064db4c2ecb336e9b9db38e904cff16fdc1ff9998889cfde79
- Size of remote file:
- 4.92 kB
- SHA256:
- 8ddd92055e9de9b2f712d947ec37b08775b67dcd521a47da2dc9b93d4e0db914
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