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 encoder.int8.onnx from algorithco/sado: direct link, hf CLI and curl.
- Browser
- Download file 172 MB
-
https://huggingface.co/algorithco/sado/resolve/main/encoder.int8.onnx
- Command line
-
hf download hf://algorithco/sado/encoder.int8.onnx
-
curl -L -o encoder.int8.onnx https://huggingface.co/algorithco/sado/resolve/main/encoder.int8.onnx
172 MB
- Xet hash:
- 9624fa1726121406a235cab1c758509b24d4b667dd3db417f741451e331a476a
- Size of remote file:
- 172 MB
- SHA256:
- 8a88772d3bca70bb4699191d9c2d075a9e14642fccf56a0c0954d0cbe5b3c970
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.