Instructions to use hf-tiny-model-private/tiny-random-CvtModel 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-CvtModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-CvtModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-CvtModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-CvtModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfbf3204adc7dd857fa5f4fb4577074111a1bed52d61cac9561d60d685311bf5
- Size of remote file:
- 5.16 MB
- SHA256:
- 05d0d3d5701d6a4f49e85c355774e972ba59ca8c6a609dc70ec5ef63e2b3b248
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