Instructions to use falba/google-vit-base-ASL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use falba/google-vit-base-ASL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="falba/google-vit-base-ASL") 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("falba/google-vit-base-ASL") model = AutoModelForImageClassification.from_pretrained("falba/google-vit-base-ASL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da56892be9d3f48d8d64fbb46e94833f0974ac0a877c736462d6019bfb2fe9d5
- Size of remote file:
- 4.92 kB
- SHA256:
- 310689f34d419fb0e8121737c9237dca002ed528af27d3eb50811a93f4de533d
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