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:
- 088b37d958d26812aa08b1fc84c73373585680da72c135364944d104f19f7e12
- Size of remote file:
- 247 kB
- SHA256:
- dbc7b24ed5d7a89bd53371c1a53d21a53725f84e779411dbea500bea9ae38d80
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