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:
- 7000ffa722314a50d19841953e25a52422741de3ee52ba64781bd684606ffd05
- Size of remote file:
- 3.52 kB
- SHA256:
- 72f5435d2ec3ffdd80c76b5c76533340e06cf130bf7302ab83895250d02add8c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.