Automatic Speech Recognition
NeMo
ONNX
Safetensors
GGUF
parakeet_tdt
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
| { | |
| "source_repo": "oruk/orukeet", | |
| "source_revision": "555136b50265a132d4cea0d35560c26fc4f657ab", | |
| "source_filename": "orukeet-v0.1.0.nemo", | |
| "source_sha256": "031c8ddab4845aeced904a7cde8e8aa57993b2e344716cf83a545b079c473b56", | |
| "converter_url": "https://github.com/huggingface/transformers/blob/6c6bac29f50c8aad5d1f06c72b2f892a6e335dd0/src/transformers/models/parakeet/convert_nemo_to_hf.py", | |
| "dtype": "torch.float32", | |
| "strict_state_dict": true, | |
| "tensor_count": 723, | |
| "parameter_count": 627008134, | |
| "vocab_size": 8193, | |
| "files": { | |
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