Instructions to use hbjoo/vit-base-beans-demo-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hbjoo/vit-base-beans-demo-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hbjoo/vit-base-beans-demo-v5") 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("hbjoo/vit-base-beans-demo-v5") model = AutoModelForImageClassification.from_pretrained("hbjoo/vit-base-beans-demo-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ffbd69d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b79cf45f07c45dbab4ff18b48f57877275750a6ff301b5cfec97afd8f2c2ed31
size 5112
|