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.1731141473.1bdfc3ee065a.277.1
- Xet hash:
- 83dac343ce6cc92a1bebbeeb986271337a96992bf2c80e4231d0958efb1e9621
- Size of remote file:
- 411 Bytes
- SHA256:
- 3819d1f94399118ba1e3b9805b16404b8685d9562232c45b9fd1d8e118096e61
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