Instructions to use nexusbert/tomato-disease-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nexusbert/tomato-disease-vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nexusbert/tomato-disease-vit") 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("nexusbert/tomato-disease-vit") model = AutoModelForImageClassification.from_pretrained("nexusbert/tomato-disease-vit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from nexusbert/tomato-disease-vit: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/nexusbert/tomato-disease-vit/resolve/main/model.safetensors
- Command line
-
hf download hf://nexusbert/tomato-disease-vit/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/nexusbert/tomato-disease-vit/resolve/main/model.safetensors
343 MB
- Xet hash:
- b16a214ae72be9dfba5475110bde6afa7b67c17a8eb699f4e77be2209a1b03a4
- Size of remote file:
- 343 MB
- SHA256:
- 3931d5b25fce93ae9f7829246d0051d576d22c42e4205d54c259f13e41eae793
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