Instructions to use facebook/vit-msn-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vit-msn-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/vit-msn-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/vit-msn-small") model = AutoModel.from_pretrained("facebook/vit-msn-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update config.json (#4)
- Update config.json (b27ff32aa201abc92582370662db1d0697fd5c9f) Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>a50267d
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Create README.md (#1)
- Create README.md (cd5f07bbbd8c772e7d75a18c13f937d074c87de5) Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>5d2de22
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