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

- Xet hash:
- 4055eb07f83806ca66322d079a6807e020119354b561211f237232ca0622ed3b
- Size of remote file:
- 114 kB
- SHA256:
- 8a85f6d034f65ba78a2cf08b23b5953cd751803862b5c4915a9682295a7d2407
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