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")# pip install -U transformers accelerate # 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
Download checkpoint-304/optimizer.pt from Docty/solacies: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/Docty/solacies/resolve/main/checkpoint-304/optimizer.pt
- Command line
-
hf download hf://Docty/solacies/checkpoint-304/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Docty/solacies/resolve/main/checkpoint-304/optimizer.pt
687 MB
- Xet hash:
- 13d987885c21ccd59d56fee3ac756dcbe3369f9746951d87517a968ef8ace0f7
- Size of remote file:
- 687 MB
- SHA256:
- b850649db3268f1d1a6a03463368188d711aa2671380c54245b0193c3f9f08e2
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