Image Classification
Transformers
TensorBoard
Safetensors
mobilenet_v2
Generated from Trainer
Eval Results (legacy)
Instructions to use ozair23/mobilenet_v2_1.0_224-finetuned-plantdisease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ozair23/mobilenet_v2_1.0_224-finetuned-plantdisease with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ozair23/mobilenet_v2_1.0_224-finetuned-plantdisease") 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("ozair23/mobilenet_v2_1.0_224-finetuned-plantdisease") model = AutoModelForImageClassification.from_pretrained("ozair23/mobilenet_v2_1.0_224-finetuned-plantdisease", device_map="auto") - Notebooks
- Google Colab
- Kaggle
mobilenet_v2_1.0_224-finetuned-plantdisease / runs /Nov09_07-39-40_1bdfc3ee065a /events.out.tfevents.1731138011.1bdfc3ee065a.277.0
- Xet hash:
- e8c6fa7caec3664b92fa60d3834f68e2cae1c11b8563fb816aec65c38c4ca8f4
- Size of remote file:
- 74 kB
- SHA256:
- 87b52f68c21392d962ca84f4a15da440378b639ec612a1caecc64eaee3affbc9
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