Instructions to use sail/poolformer_s24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sail/poolformer_s24 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sail/poolformer_s24") 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("sail/poolformer_s24") model = AutoModelForImageClassification.from_pretrained("sail/poolformer_s24", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sail/poolformer_s24: direct link, hf CLI and curl.
- Browser
- Download file 85.7 MB
-
https://huggingface.co/sail/poolformer_s24/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sail/poolformer_s24/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sail/poolformer_s24/resolve/main/pytorch_model.bin
85.7 MB
- Xet hash:
- 2b0eccdfa41b63b8c55cc89f168c63caaf223a276e15ac54561c60b06ffd6a0f
- Size of remote file:
- 85.7 MB
- SHA256:
- 162302290f7fd5c53421e6cd49a16a59f4689a91b36bbe5ba1b6728ace53c874
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