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:
- 799537bd4dcc26228fce3bdc4bc465fefbb74f5a392c38c41e91668dc5e88e41
- Size of remote file:
- 378 MB
- SHA256:
- 5e2a66dac5a832f8ba4e595ddc692803e05bcbb5640d554bb403685415c3041f
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