Instructions to use LH-Tech-AI/GyroScope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LH-Tech-AI/GyroScope with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="LH-Tech-AI/GyroScope") 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("LH-Tech-AI/GyroScope") model = AutoModelForImageClassification.from_pretrained("LH-Tech-AI/GyroScope") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b23d237b4f44213e0bccb0984006d4580963faea59f3dcf27ac8fa8e31c50e53
- Size of remote file:
- 44.8 MB
- SHA256:
- 0b260f077cd73e8fa7c8a2ba78d91a3e295b8b2f3885d75f3c0cc516fa78dba9
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