Instructions to use hf-internal-testing/tiny-random-Wav2Vec2ConformerForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Wav2Vec2ConformerForAudioFrameClassification with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ConformerForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-Wav2Vec2ConformerForAudioFrameClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 286f0ab45c9910c7513f993b7935aff62e9370aa0fe5d8580f2dcfa12ee2e568
- Size of remote file:
- 201 kB
- SHA256:
- 61be938250ddda5c6bfbc2ee527d4e83bee81b392623cc819053e987468d2fd8
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