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:
- a6f6694a42046613a6ff9fb3c9579942ebf4ee774ae0ea899b9114f5f5d06093
- Size of remote file:
- 936 kB
- SHA256:
- 3a14dfd77f0519dc31a815cfbb66eebf7f1ed5a9d259a9db859dc1992a292a8d
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