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:
- c6373c01fe2d2070ef2f4795d160a9b91217c9cc03bb997b802dedfa0095f3af
- Size of remote file:
- 117 MB
- SHA256:
- 26ce7997bb2f59b9e0ef53a861df81f409000a8cb49f2e06d03a287e0daa3cda
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