Instructions to use hf-internal-testing/tiny-random-DeiTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DeiTModel 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-DeiTModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DeiTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-DeiTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2558f4b3fe3a584d29379fa3efdac9bc5ee457b37c38806556262f93f50c659
- Size of remote file:
- 180 kB
- SHA256:
- 54042619b949aa56687b1215632751d742fc8d26b52b484709eb54258dda1fe3
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