Instructions to use cstr/stt-ru-fastconformer-hybrid-ctc-large-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use cstr/stt-ru-fastconformer-hybrid-ctc-large-GGUF with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("cstr/stt-ru-fastconformer-hybrid-ctc-large-GGUF") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cd6a076075827efe4aacf8d2aafa323ab480e7f8df5df4ccaf6b6536e4861a6
- Size of remote file:
- 69.7 MB
- SHA256:
- 52cc2912560c8ad60965816853fa34ced1add7d3cea5ad21a9e2d4dbf3c6f500
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