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:
- cf146ac789f6910fddb415574f99952f3f89782dbc1ac1c58afb24847a7a804a
- Size of remote file:
- 227 kB
- SHA256:
- 73d259138a0ec2a08db25248423c25f1ad1eae52d68af8d971b70da4a4da5532
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