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/tokenizer.model from LocalDoc/speakwrite-azerbaijani: direct link, hf CLI and curl.
- Browser
- Download file 34.8 kB
-
https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/lm/tokenizer.model
- Command line
-
hf download hf://LocalDoc/speakwrite-azerbaijani/lm/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/lm/tokenizer.model
34.8 kB
- Xet hash:
- c4e6574d4d79029c5ba2b2daf9b28f7641f72e9a524eb0a97a8c28053974abbb
- Size of remote file:
- 34.8 kB
- SHA256:
- f5b021558d10a93af7ba081c55a36a5e92fd0f5023eec50fe41283ad4eb8f2f0
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