Instructions to use pain/ArSL_AlphabetsClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pain/ArSL_AlphabetsClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pain/ArSL_AlphabetsClassificationModel") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pain/ArSL_AlphabetsClassificationModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Pytorch_Model.bin from pain/ArSL_AlphabetsClassificationModel: direct link, hf CLI and curl.
- Browser
- Download file 44.8 MB
-
https://huggingface.co/pain/ArSL_AlphabetsClassificationModel/resolve/main/Pytorch_Model.bin
- Command line
-
hf download hf://pain/ArSL_AlphabetsClassificationModel/Pytorch_Model.bin
-
curl -L -o Pytorch_Model.bin https://huggingface.co/pain/ArSL_AlphabetsClassificationModel/resolve/main/Pytorch_Model.bin
44.8 MB
- Xet hash:
- d2d445ed3cf36b3d33165ae158ab10f918e6900d820fd9773a319a2f40ba6413
- Size of remote file:
- 44.8 MB
- SHA256:
- 56206285328dd67faadd8b038b991081073cc927e7a4adcc8490732d402f5cc0
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