Instructions to use hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ForAudioFrameClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4366e01338772c2e2b56568f58189a4b11dbc489c56b379338bc602604d500ea
- Size of remote file:
- 133 kB
- SHA256:
- 459aacd9ecc0a71d092ba4413c0c995b22b1af4a2c79aaaf9d93407e9898e06a
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