Instructions to use adwod/ViT_bluetab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adwod/ViT_bluetab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="adwod/ViT_bluetab") 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("adwod/ViT_bluetab") model = AutoModelForImageClassification.from_pretrained("adwod/ViT_bluetab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a2301e4278604db28e7645090e210cc0d340add522ea4b7961bd920e7ee71f2
- Size of remote file:
- 343 MB
- SHA256:
- 947db0200571ec9115695ba754599f399070162edf99eaa0a6ae6aa2a3003a5e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.