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:
- 96f82d5d04627a68359daf6985d0039c0eeb0def2dc2ac35236bce0647600b7d
- Size of remote file:
- 98.6 MB
- SHA256:
- a7a035a18994ececc65e3c558c0dfe063868fafeaaf42db461e0664ad2b208c7
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