Instructions to use anisub/my-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anisub/my-segmentation-model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("anisub/my-segmentation-model") model = SegformerForSemanticSegmentation.from_pretrained("anisub/my-segmentation-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 190731f2a56d0ad5878fa4a13209b260f12b5df67cd52b9cdc995ac4b304a998
- Size of remote file:
- 14.9 MB
- SHA256:
- 10ab3022815c718191e79715dc8edfbaba686e24f80374b618a6db6f43775dba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.