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:
- fb0697028eb9fc7fc008c57975991239ffe23394aa22dda006b3834e50c27291
- Size of remote file:
- 194 MB
- SHA256:
- eb09c452264e0bd81116dcd08922b57163ae4d20423dbe3ce60182906017de5c
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