Instructions to use ControlNet/marlin_vit_base_ytf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ControlNet/marlin_vit_base_ytf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ControlNet/marlin_vit_base_ytf", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ControlNet/marlin_vit_base_ytf", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f864e2b205e9c29219a43c3e42ccfeac9ca8ed11906b9fd468e069104b715a33
- Size of remote file:
- 350 MB
- SHA256:
- a0bf06598cd8df475456224a33f7f051a167aa8bf8730b975ded930da556b6e9
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