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
Download tokenizer.json from oruk/orukeet: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/oruk/orukeet/resolve/main/tokenizer.json
- Command line
-
hf download hf://oruk/orukeet/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/oruk/orukeet/resolve/main/tokenizer.json
1.16 MB
File too large to display, you can check the raw version instead.