Instructions to use Docty/mangoes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Docty/mangoes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Docty/mangoes") 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("Docty/mangoes") model = AutoModelForImageClassification.from_pretrained("Docty/mangoes", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 0e58a15ff6bfbd36880cda6143bf044c4cbea23b5a1c09fef1598e4d4a25b2c5
- Size of remote file:
- 220 kB
- SHA256:
- a9c3d3600a8e6f10f1c34f137732a81e7b7a9734e4b7e0512c84f48351682267
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