Instructions to use grascii/vit-small-patch16-224-single-channel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grascii/vit-small-patch16-224-single-channel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="grascii/vit-small-patch16-224-single-channel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("grascii/vit-small-patch16-224-single-channel") model = AutoModel.from_pretrained("grascii/vit-small-patch16-224-single-channel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K