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:
- fb3948a36b85877dd13868127e87ce51d9eab4a39134c3b846bde25d45844ef2
- Size of remote file:
- 54.5 MB
- SHA256:
- 9894f37bb36b183590776dbd000d590889582f188b8bfa63fa795205a0ec0b8e
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