Instructions to use facebook/vit-msn-base-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vit-msn-base-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/vit-msn-base-4")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/vit-msn-base-4") model = AutoModel.from_pretrained("facebook/vit-msn-base-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update config.json (#2)
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Create README.md (#1)
- Create README.md (086e2580f08dd6806d05857315c8d271223bc45f) Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>c5f1ba7
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