Instructions to use Dev9124/plant-disease-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dev9124/plant-disease-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Dev9124/plant-disease-model")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Dev9124/plant-disease-model") model = AutoModel.from_pretrained("Dev9124/plant-disease-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 6b2ca101e3fe55408a32706958fb375de9f041222a8f0739199a1bda78cd725d
- Size of remote file:
- 206 MB
- SHA256:
- 054de01fc1b388a2a1bafe42c93cc5a549d937d8ecfc39246fdd082fcda05030
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