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
Requantize stt-ru-fastconformer-hybrid-ctc-large-q8_0.gguf: conv pw1/pw2 F16→Q8_0 (#81 CPU perf fix; all other tensors byte-identical)
Browse files
stt-ru-fastconformer-hybrid-ctc-large-q8_0.gguf
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