Instructions to use chrisroush/savr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisroush/savr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chrisroush/savr") 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("chrisroush/savr") model = AutoModelForImageClassification.from_pretrained("chrisroush/savr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from chrisroush/savr: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/chrisroush/savr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://chrisroush/savr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chrisroush/savr/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 79965a628675c83a6828841e6b2488f3dc967ea25beed157e99040d44cd66dc4
- Size of remote file:
- 343 MB
- SHA256:
- a94a34908d91003fd6eafe6696b1aee1601bdea8b6a217fdd81986878e19fc56
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