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:
- bb603acdd80fab2cf4d5f050fd67eefd5476ed32f72efa1a6429d5731c1b28e4
- Size of remote file:
- 133 kB
- SHA256:
- 722a7cc1a64ccb863113f1f0188c7b7542cbb2dbbf969fd51ec555d077839dec
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