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:
- 0d3cd9265b373591ba2ae3e0c50d421006aa23470c056862a5779876ece3d3d0
- Size of remote file:
- 3.52 kB
- SHA256:
- 13f22786dfd8cfdf688ec3726b010898bd9ae65d8271d9df46c88fc6c6d85c13
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