Instructions to use hf-tiny-model-private/tiny-random-ViTMSNModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ViTMSNModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-ViTMSNModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ViTMSNModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ViTMSNModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f67f6ffcead720519e65d16a49903ee20a4f2f912c97201f3ac817485911b62c
- Size of remote file:
- 194 kB
- SHA256:
- 05766e2f7a4818ace554fa347e4529246ba261743403d87871ca0b5c029d2edf
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