Instructions to use Xrenya/pvt-medium-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xrenya/pvt-medium-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Xrenya/pvt-medium-224") 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("Xrenya/pvt-medium-224") model = AutoModelForImageClassification.from_pretrained("Xrenya/pvt-medium-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Xrenya/pvt-medium-224: direct link, hf CLI and curl.
- Browser
- Download file 177 MB
-
https://huggingface.co/Xrenya/pvt-medium-224/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Xrenya/pvt-medium-224/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Xrenya/pvt-medium-224/resolve/main/pytorch_model.bin
177 MB
- Xet hash:
- 284c0305a847092e5b02bc2eb1e6803b2d607d711d81ba7ca701095b3ab4a756
- Size of remote file:
- 177 MB
- SHA256:
- 591f16ea667b0e440e34419b3591b1639124def7e36c95d649191acfbda21c72
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