Instructions to use arnavmahapatra/FruitDetect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnavmahapatra/FruitDetect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="arnavmahapatra/FruitDetect") 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("arnavmahapatra/FruitDetect") model = AutoModelForImageClassification.from_pretrained("arnavmahapatra/FruitDetect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39deaaf2b688cb7417b38190fd8836de2e5d8ba9d23bc22e37cb5321001010ba
- Size of remote file:
- 687 MB
- SHA256:
- 36ab824c8e9605163145ba0c39f7f0bf89d662383cd532e3a0ac7b1fa9ec9ef2
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