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:
- 681b1f0991e51b4ae5022646041eee7d3b9b241beb30b0b6143fee32e7bc7fe5
- Size of remote file:
- 252 kB
- SHA256:
- 22f98d05c4c88283bdeacf07b9b3b4db9af66be688a423beab90550f3f4cbdf5
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