Instructions to use LocalDoc/speakwrite-azerbaijani with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use LocalDoc/speakwrite-azerbaijani with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("LocalDoc/speakwrite-azerbaijani") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download lm/model.binary from LocalDoc/speakwrite-azerbaijani: direct link, hf CLI and curl.
- Browser
- Download file 1.02 GB
-
https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/refs%2Fpr%2F2/lm/model.binary
- Command line
-
hf download hf://LocalDoc/speakwrite-azerbaijani@refs/pr/2/lm/model.binary
-
curl -L -o model.binary https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/refs%2Fpr%2F2/lm/model.binary
1.02 GB
- Xet hash:
- 10e5bbc79f32ff346db641e1daae4fca5b55626fe0783bd142061faf615f3466
- Size of remote file:
- 1.02 GB
- SHA256:
- 1a7205fc3a75609184510c69da53de8217906bc84e4012bbcfbca97a755c2aa2
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