Instructions to use JaesonGu/flare-plug-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JaesonGu/flare-plug-vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JaesonGu/flare-plug-vit") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("JaesonGu/flare-plug-vit") model = AutoModelForImageClassification.from_pretrained("JaesonGu/flare-plug-vit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea5c6b6244ecf717543bcd38b44a5c2f7ff61967017ea111fb8347eaa14738a7
- Size of remote file:
- 5.3 kB
- SHA256:
- 2e941d05e57f7ce0c7b6f7aaf57b8357f12ec8ce6e0898ee154a70646ab95d91
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