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:
- 6a547867625033a17b82e7f637b07dc780d6ee26d549a7137b6d83225ef821fa
- Size of remote file:
- 14.9 MB
- SHA256:
- 2ab37c8b9bec6aaf8d76e407d1dd4ec5a46d0ff79e9cf62512cbed240cba909f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.