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")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/vit-msn-large") model = AutoModel.from_pretrained("facebook/vit-msn-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dbe8af378aa666530f167f1bf66acbfb7a42ebedc5dda633242ba66ca7e44e2
- Size of remote file:
- 1.21 GB
- SHA256:
- cc86476bef0fa09b1981eebdafe530b1fb1a21e7152ce72b8a0e66eaa8a3181f
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