Automatic Speech Recognition
NeMo
ONNX
GGUF
parakeet
tdt
sherpa-onnx
multilingual
speech-recognition
gabor
fastconformer
Instructions to use oruk/orukeet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use oruk/orukeet with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("oruk/orukeet") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
| diff --git a/scripts/convert-parakeet.py b/scripts/convert-parakeet.py | |
| index e980852..72bc7d9 100644 | |
| --- a/scripts/convert-parakeet.py | |
| +++ b/scripts/convert-parakeet.py | |
| V3_LANGUAGES = [ | |
| ] | |
| VARIANT_PROFILES: dict[str, dict] = { | |
| + "orukeet": { | |
| + "variant": "tdt-0.6b-orukeet", | |
| + "display_name": "Orukeet", | |
| + "version": "v0.1.0", | |
| + "size_label": "0.6B", | |
| + "head_kind": "tdt", | |
| + "expected_vocab_size": 8192, | |
| + "languages": V3_LANGUAGES, | |
| + "lang_detect": True, | |
| + "author": "Oruk", | |
| + "organization": "oruk", | |
| + "prefer_direct_load": True, | |
| + "license": "cc-by-sa-4.0", | |
| + "license_name": "Creative Commons Attribution-ShareAlike 4.0", | |
| + "license_link": "https://creativecommons.org/licenses/by-sa/4.0/", | |
| + }, | |
| # v2: 0.6B English-only TDT. | |
| "parakeet-tdt-0.6b-v2": { | |
| "variant": "tdt-0.6b-v2", | |
| def load_nemo_model(model_spec: str, prefer_direct: bool = False): | |
| transiently doubles disk usage; the direct path streams entries | |
| out of the archive at near-zero transient cost. | |
| """ | |
| - from nemo.collections.asr.models import ASRModel | |
| - | |
| local = Path(model_spec).expanduser() | |
| if prefer_direct: | |
| def load_nemo_model(model_spec: str, prefer_direct: bool = False): | |
| return _DirectNemoArchive(cfg, sd, sp_proto) | |
| # else fall through to NeMo path | |
| + from nemo.collections.asr.models import ASRModel | |
| + | |
| nemo_path: Path | None = None | |
| if local.exists(): | |
| print(f"Loading Parakeet from local path: {local}") | |