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 training_args.bin from dyllanesl/ASL_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/dyllanesl/ASL_Classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://dyllanesl/ASL_Classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dyllanesl/ASL_Classifier/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 2d011312ad17c1c9a0aecfabb44a50e36aa858005117b2103bb1e5083337e3c5
- Size of remote file:
- 5.11 kB
- SHA256:
- bd5b06c70acce346c71f343b7689d803c15146215c378726f7be8e39d830f571
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