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")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/vit-msn-small") model = AutoModel.from_pretrained("facebook/vit-msn-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8853d7eaa49ae2831b3a5ece96b5f68420950ab44c1bbe0a839e9ae478441a7a
- Size of remote file:
- 86.7 MB
- SHA256:
- 0e1e493425afae431d2e735eb7f7e5e2122332d3bba32beb1612daad713cb1cf
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