Instructions to use facebook/vit-msn-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/vit-msn-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/vit-msn-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/vit-msn-large") model = AutoModel.from_pretrained("facebook/vit-msn-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update config.json (#2)
- Update config.json (da3aeda16fa277a6175b2d6a227eca6d8ac04340) Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>1c37add
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Create README.md (#1)
- Create README.md (d4c6a01167dda58fd6e4bb20a7900f349b23d770) Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>8e45adc
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