Instructions to use iammartian0/vegetation_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iammartian0/vegetation_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="iammartian0/vegetation_classification_model") 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("iammartian0/vegetation_classification_model") model = AutoModelForImageClassification.from_pretrained("iammartian0/vegetation_classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb50c010a0b65afef3bc70f6aaf1911923416e4ea7a1c1a4ee3df4edf9ccf1ea
- Size of remote file:
- 343 MB
- SHA256:
- 25505a7cdc543680cd10996b2acae22b238402edf48a992ce03de837a8912426
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