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
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- 'lstm' - trained from scratch word-level LSTM LM model and the corresponding tokenizer;
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- 'text' - contains text data used for training, validation, and testing.
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- 'lstm' - trained from scratch word-level LSTM LM model and the corresponding tokenizer;
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- 'text' - contains text data used for training, validation, and testing.
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- 'optimize' - data and results of optimization experiments
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