Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use umutbozdag/plant-identity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umutbozdag/plant-identity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="umutbozdag/plant-identity") 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("umutbozdag/plant-identity") model = AutoModelForImageClassification.from_pretrained("umutbozdag/plant-identity", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
plant-identity
Autogenerated by HuggingPicsπ€πΌοΈ
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
Aloe vera
Bamboo
Basil
Boston fern
English ivy
Ficus
Fiddle leaf fig
Lavender
Mint
Monstera deliciosa
Orchids
Peace lily
Philodendron
Pothos
Rosemary
Rubber plant
Snake plant
Spider plant
Succulents
ZZ plant
- Downloads last month
- 257,426
Model tree for umutbozdag/plant-identity
Spaces using umutbozdag/plant-identity 11
π¦
razanalsulami/testtt
π
kunal5711/Plant
β‘
JanaAlbader/Plant_Buddy
π»
razanalsulami/plant
π
fadiyahalanazi/Exewaether
Evaluation results
- Accuracyself-reported0.690



















