Instructions to use piddnad/ddcolor_modelscope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use piddnad/ddcolor_modelscope with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("piddnad/ddcolor_modelscope", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a73f38dd44b81d554065ec9b4ccb6b1a0ac943f1141268258adff899bd1b2885
- Size of remote file:
- 912 MB
- SHA256:
- d81711971ec59200da26d5e8a1afae8dd3778d495ea8ad7a7dadc769f403f7e7
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