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:
- 7894c01974f6f518629b40bb918899f75b1711da26144c6492996d21c9ac167d
- Size of remote file:
- 102 kB
- SHA256:
- 19e2c87bba8b6e461f16f28c6a2dad0a5363c81c439eed462b811b7fbdc3d4c8
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