Automatic Speech Recognition
NeMo
ONNX
PyTorch
Uzbek
speech
audio
Transducer
FastConformer
CTC
Transformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use algorithco/sado with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use algorithco/sado with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("algorithco/sado") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download decoder.onnx from algorithco/sado: direct link, hf CLI and curl.
- Browser
- Download file 15.8 MB
-
https://huggingface.co/algorithco/sado/resolve/main/decoder.onnx
- Command line
-
hf download hf://algorithco/sado/decoder.onnx
-
curl -L -o decoder.onnx https://huggingface.co/algorithco/sado/resolve/main/decoder.onnx
15.8 MB
- Xet hash:
- 353db1a166661a6fe8d694b98c6c8811db2ee2d5d0523d32c33d4092ba9459db
- Size of remote file:
- 15.8 MB
- SHA256:
- b2cfa61c1b654aa688684e0148f2235edfde60eb24a2e47fbfcb9fc09f9919fe
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