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:
- 885a644a78737757f46fbea6536c5a7ed90dafda9b3c900b0ec7e897c054a1d8
- Size of remote file:
- 4.56 MB
- SHA256:
- 47403c76ff07833c4f94fd4a61c6423413af6e41f9aadfa8d57a7808cc901f0f
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