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-152/optimizer.pt from Docty/solacies: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/Docty/solacies/resolve/main/checkpoint-152/optimizer.pt
- Command line
-
hf download hf://Docty/solacies/checkpoint-152/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Docty/solacies/resolve/main/checkpoint-152/optimizer.pt
687 MB
- Xet hash:
- ecc815f98cd8786601179316b1f70c0fe1ed6b58dea33386d10e532f36ac23ca
- Size of remote file:
- 687 MB
- SHA256:
- 1da28a21bc9defc2f7a731cfa38c0307362baee426ea92d96dbb66be3bda61a2
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