Instructions to use AlexanderMaz/LanguageModel_Fusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use AlexanderMaz/LanguageModel_Fusion with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("AlexanderMaz/LanguageModel_Fusion") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0feb729f7d8243090ee5b8c65bcb214dd9219f35496591844e18326b73a98e91
- Size of remote file:
- 1.24 GB
- SHA256:
- 3d7884f6ef1acccf72b84d2d7b7ad167b2484183dde8e89b7960dce581a1c16f
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