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")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("dyllanesl/ASL_Classifier") model = AutoModelForImageClassification.from_pretrained("dyllanesl/ASL_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3827dd6338d8a365ccc55795305c0dfe952d949a5fa7f1192f1fa25c28f43cd
- Size of remote file:
- 343 MB
- SHA256:
- 79fc922fbeb93aaff9a33d14ae44372aa9e53776ba215459c787041506452132
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.