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:
- 55b85fc619c42fbb400750117e7ebac3fbb0a5f15493117784b082c9404e84e5
- Size of remote file:
- 2.03 MB
- SHA256:
- 99a3302dc2da750175a801711394769976331ec8f658f8acc6a60021db0151bf
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