Instructions to use AyaF/ASL-Vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyaF/ASL-Vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AyaF/ASL-Vit") 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("AyaF/ASL-Vit") model = AutoModelForImageClassification.from_pretrained("AyaF/ASL-Vit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.8c1e0c7
-
Update README.md
0fdf1f9
-
commit files to HF hub
8cc0021
-
commit files to HF hub
765cd72
-
Update README.md
99ff2bf
-
commit files to HF hub
f19166b
-
Update README.md
1dad1b0 -
Update README.md
e3f7edd -
commit files to HF hub
f11e397
-
commit files to HF hub
d8d9ba5 -
commit files to HF hub
06ee51b
-
commit files to HF hub
a6e24e4 -
initial commit
d67f49a