Instructions to use zho/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zho/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zho/vit-base-beans") 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("zho/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("zho/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
stevenf693ee6 -
Model save
steven26368d6
-
update model card README.md
steven3c7c745 -
End of training
stevenaaad4e9 -
update model card README.md
steven4ad5aec -
Model save
steven5c5c868
-
update model card README.md
steven2e31585 -
End of training
steven6df3697 -
update model card README.md
steven9d50315 -
Model save
stevend6da07f
-
update model card README.md
steven6544c63 -
End of training
steven0520693 -
update model card README.md
steven3386a8a -
Model save
steven585685f -
Training in progress, epoch 1
steven908b939 -
initial commit
steven5f30d96