Instructions to use dyllanesl/ASL_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dyllanesl/ASL_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dyllanesl/ASL_Classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("dyllanesl/ASL_Classifier") model = AutoModelForImageClassification.from_pretrained("dyllanesl/ASL_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from dyllanesl/ASL_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/dyllanesl/ASL_Classifier/resolve/main/rng_state.pth
- Command line
-
hf download hf://dyllanesl/ASL_Classifier/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/dyllanesl/ASL_Classifier/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- 583b651cd633e6713a3e6f7a1f3fe5f11159bfe37bbb077dc72e297024a7faf5
- Size of remote file:
- 14.2 kB
- SHA256:
- 5edb34d031c0c2b447f3eaadb401a4c1e7e7e6d8c096e28b7092e01a8bd48c92
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