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 onnx/model.onnx.data from LocalDoc/speakwrite-azerbaijani: direct link, hf CLI and curl.
- Browser
- Download file 244 MB
-
https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/onnx/model.onnx.data
- Command line
-
hf download hf://LocalDoc/speakwrite-azerbaijani/onnx/model.onnx.data
-
curl -L -o model.onnx.data https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/onnx/model.onnx.data
244 MB
- Xet hash:
- aa8b8259b77bb724d51c1e5129223b9d9b8e0cebba178a721d95cb01df8c3a6f
- Size of remote file:
- 244 MB
- SHA256:
- 553ac2f417f541142feffde1c3fdc18cd1b951ce156abae43f8f8ad2cbb20560
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