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:
- 4674e8f239fd19d59d4f0fe5e5a347d26cf3a6ee077bbea26d652de76b3efa60
- Size of remote file:
- 25.5 MB
- SHA256:
- 2c0736d55a7492da63c126f8c84527ea1af199119771f1000a06b66b7ea9e837
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