Instructions to use hf-internal-testing/tiny-random-MimiModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MimiModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MimiModel")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("hf-internal-testing/tiny-random-MimiModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MimiModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7573d26842c31c19faced8bf71459e2b4e16171d8d46c53b599ab5176912f3d
- Size of remote file:
- 1.15 MB
- SHA256:
- d058f29f26e99fdbcb7f2c158846198aa33adecf81400c872c1f3164c01ef5d0
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