Instructions to use varcoder/Augmented-MIT-b5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varcoder/Augmented-MIT-b5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("varcoder/Augmented-MIT-b5") model = SegformerForSemanticSegmentation.from_pretrained("varcoder/Augmented-MIT-b5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from varcoder/Augmented-MIT-b5: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/varcoder/Augmented-MIT-b5/resolve/main/.gitignore
- Command line
-
hf download hf://varcoder/Augmented-MIT-b5/.gitignore
-
curl -L -o .gitignore https://huggingface.co/varcoder/Augmented-MIT-b5/resolve/main/.gitignore
13 Bytes
| checkpoint-*/ |