Instructions to use jienengchen/ViTamin-L-336px with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jienengchen/ViTamin-L-336px with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jienengchen/ViTamin-L-336px", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jienengchen/ViTamin-L-336px", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d03dc28e035f4689bc927e9acb16da672e6436ad14eed293278ee549d924bdc
- Size of remote file:
- 1.83 GB
- SHA256:
- 713a5bb5d3cd313c51b609b9b51e5e73b6bfeccca0822de736d0bf4e38d79841
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