Instructions to use hf-internal-testing/tiny-random-Wav2Vec2ForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Wav2Vec2ForPreTraining with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ForPreTraining") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d6ec773f0e5bd07889cf4938c76ca1cff1ffefa98c135ad5811dcffd51a75e0
- Size of remote file:
- 827 kB
- SHA256:
- 43c982d51ef0bd49486e9e42fed5b0e7ee08e5058f66f97bdd2c9fc43c2a0737
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