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:
- c11b5ca6ec7b72296f22bbf2df8b029d62e4b84311298895a9b4cb2280d7331b
- Size of remote file:
- 3.32 kB
- SHA256:
- d2f31c43de1a0b0f9b6421842529cc6b64e1949d34e9fc4bbd1ce7118bdea43c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.