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 model.pt from LocalDoc/speakwrite-azerbaijani: direct link, hf CLI and curl.
- Browser
- Download file 865 MB
-
https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/model.pt
- Command line
-
hf download hf://LocalDoc/speakwrite-azerbaijani/model.pt
-
curl -L -o model.pt https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/model.pt
865 MB
- Xet hash:
- cf85046d8dbffb2c65bedaf263f922c8cf0b76c8b5dfa4ecbcc1175ce10d3e02
- Size of remote file:
- 865 MB
- SHA256:
- d8ff714677ea93389a5fa888438922b8629bb53a0baecbd611c1464d09d59fcf
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