Instructions to use Professor/Plant_Classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Professor/Plant_Classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Professor/Plant_Classification_model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Professor/Plant_Classification_model") model = AutoModelForImageClassification.from_pretrained("Professor/Plant_Classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, epoch 5
8fb91d0 -
Training in progress, epoch 1
a410988 -
Model save
f059e4c -
End of training
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Training in progress, epoch 7
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Training in progress, epoch 5
fc18a2a -
Training in progress, epoch 3
dfe75fe -
Training in progress, epoch 1
39b94b7 -
initial commit
67c5a13