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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("OttoYu/Tree-Inspection") model = AutoModelForImageClassification.from_pretrained("OttoYu/Tree-Inspection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
70136b5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3f81d30e11e67c326627697f0f3b1e803571e9ab46293ce874befca8c324c202
size 110428968
|