Instructions to use Manasee27/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manasee27/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Manasee27/vit-base-beans") 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("Manasee27/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("Manasee27/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 865214e66c547769d3a6eac6ffe4ae967c657d555db0f3f5f9a8d7cbbfb9635c
- Size of remote file:
- 343 MB
- SHA256:
- bbcacec96d018a335740c9c6d90879110e0e9cd904ead9842ba0d268766b6f7a
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