Instructions to use hf-internal-testing/tiny-random-ViTMSNModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ViTMSNModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-ViTMSNModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-ViTMSNModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ViTMSNModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b45e09dcf3e876c113c336cf0b6d82df7993d02116e1def5f34c80b0e81ea5b8
- Size of remote file:
- 176 kB
- SHA256:
- 0c9225dca3030d0d96ce1da93634313799976d95d3dc8b79f736a3db367dd92c
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