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
Download preprocessor_config.json from Dev9124/plant-disease-model: direct link, hf CLI and curl.
- Browser
- Download file 575 Bytes
-
https://huggingface.co/Dev9124/plant-disease-model/resolve/669d73790a3909ffe2cc6701b19fd424c5031c1e/preprocessor_config.json
- Command line
-
hf download hf://Dev9124/plant-disease-model@669d73790a3909ffe2cc6701b19fd424c5031c1e/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Dev9124/plant-disease-model/resolve/669d73790a3909ffe2cc6701b19fd424c5031c1e/preprocessor_config.json
575 Bytes
| { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "max_pixels": 12845056, | |
| "merge_size": 2, | |
| "min_pixels": 3136, | |
| "patch_size": 14, | |
| "processor_class": "Qwen2_5_VLProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 12845056, | |
| "shortest_edge": 3136 | |
| }, | |
| "temporal_patch_size": 2 | |
| } | |