Image Classification
Transformers
TensorBoard
Safetensors
mobilenet_v2
Generated from Trainer
Eval Results (legacy)
Instructions to use A2H0H0R1/mobilenet_v2_1.0_224-plant-disease2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A2H0H0R1/mobilenet_v2_1.0_224-plant-disease2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="A2H0H0R1/mobilenet_v2_1.0_224-plant-disease2") 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("A2H0H0R1/mobilenet_v2_1.0_224-plant-disease2") model = AutoModelForImageClassification.from_pretrained("A2H0H0R1/mobilenet_v2_1.0_224-plant-disease2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
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