Instructions to use OttoYu/Tree-Inspection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OttoYu/Tree-Inspection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="OttoYu/Tree-Inspection") 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("OttoYu/Tree-Inspection") model = AutoModelForImageClassification.from_pretrained("OttoYu/Tree-Inspection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b41c88a8310d597588934cb72bb198152ea397028debba0142f6f9012fc627a1
- Size of remote file:
- 110 MB
- SHA256:
- 3f81d30e11e67c326627697f0f3b1e803571e9ab46293ce874befca8c324c202
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