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 optimizer.pt from dyllanesl/ASL_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/dyllanesl/ASL_Classifier/resolve/main/optimizer.pt
- Command line
-
hf download hf://dyllanesl/ASL_Classifier/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dyllanesl/ASL_Classifier/resolve/main/optimizer.pt
687 MB
- Xet hash:
- cb1421f2e4881eb7167a0d8f0798279a27b963efc34a89bb3304146df282a6fc
- Size of remote file:
- 687 MB
- SHA256:
- 3479bc9978ec0740bd3e75b8e1cff05251b94bf1a797cac5d1255ea13320d89e
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