Instructions to use ControlNet/marlin_vit_large_ytf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ControlNet/marlin_vit_large_ytf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ControlNet/marlin_vit_large_ytf", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ControlNet/marlin_vit_large_ytf", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef102dc0a1027567821c8ea82f5ee6d8553fffe465ec73ec99a1a5a2f83387be
- Size of remote file:
- 1.22 GB
- SHA256:
- 4fca009d5f43c1276524c8aeef7e3469b0aa48597233d8ac74b143cecf2d5c92
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