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/export.json from LocalDoc/speakwrite-azerbaijani: direct link, hf CLI and curl.
- Browser
- Download file 918 Bytes
-
https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/onnx/export.json
- Command line
-
hf download hf://LocalDoc/speakwrite-azerbaijani/onnx/export.json
-
curl -L -o export.json https://huggingface.co/LocalDoc/speakwrite-azerbaijani/resolve/main/onnx/export.json
918 Bytes
| { | |
| "model": "balbal-v2-manas", | |
| "int8_matmul": true, | |
| "clips": 5, | |
| "frames": 1940, | |
| "fast": { | |
| "torch_lean": { | |
| "max_abs_logprob_diff": 0.06095, | |
| "frame_argmax_agreement": 1.0 | |
| }, | |
| "pkm_int8": [ | |
| { | |
| "table": [ | |
| 490000, | |
| 192 | |
| ], | |
| "nodes": 3, | |
| "max_abs_error": 0.007027149200439453 | |
| } | |
| ], | |
| "relpos": { | |
| "fused": 18, | |
| "nodes_removed": 720 | |
| }, | |
| "files": { | |
| "tensors": 339, | |
| "onnx_bytes": 23603112, | |
| "data_bytes": 244115520 | |
| }, | |
| "onnxruntime": { | |
| "max_abs_logprob_diff": 11.97548, | |
| "frame_argmax_agreement": 0.99381 | |
| }, | |
| "export_seconds": 30.8 | |
| }, | |
| "plain": { | |
| "torch_lean": { | |
| "max_abs_logprob_diff": 0.06095, | |
| "frame_argmax_agreement": 1.0 | |
| }, | |
| "files": { | |
| "tensors": 338, | |
| "onnx_bytes": 23783753, | |
| "data_bytes": 524353792 | |
| }, | |
| "onnxruntime": { | |
| "max_abs_logprob_diff": 12.00076, | |
| "frame_argmax_agreement": 0.9933 | |
| }, | |
| "export_seconds": 31.6 | |
| } | |
| } | |