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
Commit History
3 days ago
-
Run with pip install balbal: ONNX graphs + "languages": ["az"]
Verified signatureSalam! Mən Eray, balbal-ın müəllifiyəm. balbal-v2-manas resepti əsasında öyrədilmiş Azərbaycan dili modelini görmək çox xoşdur 🙌 This PR makes the model run with `pip install balbal`. Version 0.3.0 (released today) loads models trained on the balbal architectures straight from a Hugging Face repo: ```python import balbal model = balbal.load("LocalDoc/speakwrite-azerbaijani") print(model.transcribe("speech.wav")["text"]) ``` or `balbal run --model LocalDoc/speakwrite-azerbaijani speech.wav`. It runs on CPU with your KenLM and uses your `decoder.json` (alpha 1.0, beta 2.0). **Changes** - `model.json`: adds `"name"` and `"languages": ["az"]`. The language turns off balbal's Turkish number writing (ITN), so numbers stay as words, and keeps Turkic i/İ casing for hotwords. balbal at commit `1be9f88` (your Use section) reads only `"model"`, so nothing changes there. - `onnx/`: the fast graph (`model.onnx`, its custom kernels ship in the pip wheel) and the standard-operator graph (`model-…f9f6fad
4 days ago
-
Delete speakwrite.svg
Verified signature5501fa4 -
Update README.md
Verified signature81ed62d -
Update README.md
Verified signature4a3e4ea -
Update README.md
Verified signaturedc85dfa -
Upload speakwrite.svg
Verified signaturecf0738c -
Update README.md
Verified signature8071a6e -
speakwrite-azerbaijani
8147f61