Instructions to use jienengchen/ViTamin-S-LTT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jienengchen/ViTamin-S-LTT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jienengchen/ViTamin-S-LTT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jienengchen/ViTamin-S-LTT", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82d3bab62760c4d374fe4659093cfaa94ad01871e11c829f3c4ba0d188a60df2
- Size of remote file:
- 583 MB
- SHA256:
- cb6430d83fc84269d18a229f673253f41c4e3466d3cd5493c9e8f4ed930f5ae7
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