Instructions to use GarayMC/cracksmcc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GarayMC/cracksmcc with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("GarayMC/cracksmcc") model = SegformerForSemanticSegmentation.from_pretrained("GarayMC/cracksmcc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b83f9c8e73daa8e0d38579803cf7d58b3b5b4ce266dd33c9bbf5e632e607cace
- Size of remote file:
- 3.58 kB
- SHA256:
- 95e90e69c7a037bd35a266798ef96fbbbd45a10b858eb7a9ab3834e2005f3d0f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.