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:
- 57c863d85e66f667c6df468fff4f5d0a8a3fbba3985e1a5d20b41aec55c43d09
- Size of remote file:
- 219 MB
- SHA256:
- b6fffcb58c8f02bde9a0a69bfba4e0d5d88c9cda434ae9166ab9c4ceae02931b
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