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 joiner.onnx from algorithco/sado: direct link, hf CLI and curl.
- Browser
- Download file 5.58 MB
-
https://huggingface.co/algorithco/sado/resolve/main/joiner.onnx
- Command line
-
hf download hf://algorithco/sado/joiner.onnx
-
curl -L -o joiner.onnx https://huggingface.co/algorithco/sado/resolve/main/joiner.onnx
5.58 MB
- Xet hash:
- a3611028c87102b07831c31d022fcd4b2b689f48f49daff6312b5dd507aeafc6
- Size of remote file:
- 5.58 MB
- SHA256:
- f53bd9a3770282ea784ce5ec881ce0fdfc044afba7c5930c2cd965346017a86f
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