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:
- c9a5e562e943e6e718ac57198e114f7c2de64dd87f9c6a3c23e533207afa92cb
- Size of remote file:
- 14.9 MB
- SHA256:
- 5356f9682332754fc5904334c09f83762ac6016d3664352f5088bf5411183cd9
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