Instructions to use hf-tiny-model-private/tiny-random-ViTModel 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-ViTModel 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-ViTModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ViTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1650a311cef6314885b4471e1763c3f86322c7fa305c17e4ca6408d0131ab32b
- Size of remote file:
- 180 kB
- SHA256:
- 86707ea22968876835baf62708538dddb12de480d53014b8273a84d78b51f9c2
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