Instructions to use hf-internal-testing/tiny-random-CvtModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CvtModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-CvtModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-CvtModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-CvtModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b7698b98bb7814856e4cd11d63329b7994bcb4e241fac1268f55802bb6a3e6d
- Size of remote file:
- 5.16 MB
- SHA256:
- 216953004165315f30ea08b021d94647be6a75ed2f2157424053d8096a84d79b
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