Instructions to use sail/poolformer_m48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sail/poolformer_m48 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sail/poolformer_m48") 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_m48") model = AutoModelForImageClassification.from_pretrained("sail/poolformer_m48", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
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Add vision tag
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Create README.md
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Upload preprocessor_config.json
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Upload pytorch_model.bin with git-lfs
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Upload config.json
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initial commit
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