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 /Nov10_02-29-57_986a29b10d63 /events.out.tfevents.1731206075.986a29b10d63.2306.1
- Xet hash:
- 2447558bc6c511a86e718d1a7b2f6871305cc2e50ee9f6be23886b95afcb02e4
- Size of remote file:
- 81.2 kB
- SHA256:
- 0f6d760488edcfb38d1c1d459152d1d77775c0a350b047a36944ef1a5ce63bb1
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