Instructions to use amosr2002/amazing_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amosr2002/amazing_model with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("amosr2002/amazing_model") model = SegformerForSemanticSegmentation.from_pretrained("amosr2002/amazing_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 541320800e7651795a00a3e314a1600c10f6e2a36bbf25578d0ddc82b4158dfb
- Size of remote file:
- 3.39 kB
- SHA256:
- e89f2ca463ef9e28defca995cd793fe5e7a7d640bba50aa71ff3f55fe03e49f4
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