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:
- c6c18e3d83024ef74a65b7b8079ff1d06ae044956c8ae374442ade2c9f3d5bf4
- Size of remote file:
- 19.2 MB
- SHA256:
- bc83220078f2898311f0e0ba68bba6a1681d5b1c08ba0253e6672f85b53dfb38
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