Instructions to use sail/poolformer_s12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sail/poolformer_s12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sail/poolformer_s12") 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_s12") model = AutoModelForImageClassification.from_pretrained("sail/poolformer_s12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sail/poolformer_s12: direct link, hf CLI and curl.
- Browser
- Download file 47.7 MB
-
https://huggingface.co/sail/poolformer_s12/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sail/poolformer_s12/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sail/poolformer_s12/resolve/main/pytorch_model.bin
47.7 MB
- Xet hash:
- ba65984f2a0aad64a514637b4024531a3f8e6f13de529456bdf0db81beba05a4
- Size of remote file:
- 47.7 MB
- SHA256:
- 373b8c8d38488e15a862047c4ca00f3adca6488c4d334c329479bc4fc1d1ca37
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