Instructions to use Jwei/LGViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jwei/LGViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jwei/LGViT") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jwei/LGViT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 033deea679492a89358b9a38e3fb6418c8692ef14dd1cf5652132a2bc19c80f9
- Size of remote file:
- 376 MB
- SHA256:
- eba55a7bf1cdcc68dda816f68ab566362df51ccda415ca731967a5f75538e535
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