Instructions to use Abuzaid01/asl-sign-language-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abuzaid01/asl-sign-language-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Abuzaid01/asl-sign-language-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, ASLResNet processor = AutoImageProcessor.from_pretrained("Abuzaid01/asl-sign-language-classifier") model = ASLResNet.from_pretrained("Abuzaid01/asl-sign-language-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53aec824c58d47b20c5e499c0332e5ae269d5f2d42a8a1e8248502bdb033629b
- Size of remote file:
- 98.5 MB
- SHA256:
- 401137e1fcee4b10683740deb2d4bdaeae5c67974511608f3af5912acfe60029
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