Instructions to use ChristopherS27/testModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChristopherS27/testModel with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("ChristopherS27/testModel") model = SegformerForSemanticSegmentation.from_pretrained("ChristopherS27/testModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a3cc9ce83f6ebfb253ae2280fc8a059468c2d2c94dea24f00606dcc13cb7c44
- Size of remote file:
- 14.9 MB
- SHA256:
- 92710fe59f8dc5470d477a62208ade317b0cd77ddbc1217608e9ed1c6c904f6d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.