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:
- ad14600ec1ee2ae736a9b44e6613516385797a0b72d0c938f5f4edbe448b1f67
- Size of remote file:
- 338 kB
- SHA256:
- a99f844e8943ef41a29a7dbc6747e78e6cd68c3ad618c7c879d3ce71b3760ded
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