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 refiner.json from LocalDoc/speakwrite-azerbaijani: direct link, hf CLI and curl.
- Browser
- Download file 379 Bytes
-
https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/refiner.json
- Command line
-
hf download hf://LocalDoc/speakwrite-azerbaijani/refiner.json
-
curl -L -o refiner.json https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/refiner.json
379 Bytes
| { | |
| "config": {"acoustic_width": 512, "width": 256, "vocabulary": 2048, "layers": 2, "heads": 4, "dropout": 0.1, "loops": 3}, | |
| "memory": {"subkeys": 700, "key_dim": 64, "value_dim": 192, "context_frames": 3, "heads": 8, "top_k": 32, "temperature": 0.1, "dropout": 0.1}, | |
| "learned_temperature": true, | |
| "subsampling_factor": 4, | |
| "language_head": true, | |
| "inference_loops": 3 | |
| } | |