Automatic Speech Recognition
NeMo
ONNX
GGUF
Danish
speech-recognition
speech-to-text
danish
danish-asr
offline
local-inference
cpu-inference
sherpa-onnx
rnnt
word-timestamps
Eval Results (legacy)
Instructions to use RyeAI/ekko-v1-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use RyeAI/ekko-v1-tiny with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("RyeAI/ekko-v1-tiny") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download ekko-v1-tiny.nemo from RyeAI/ekko-v1-tiny: direct link, hf CLI and curl.
- Browser
- Download file 452 MB
-
https://huggingface.co/RyeAI/ekko-v1-tiny/resolve/main/ekko-v1-tiny.nemo
- Command line
-
hf download hf://RyeAI/ekko-v1-tiny/ekko-v1-tiny.nemo
-
curl -L -o ekko-v1-tiny.nemo https://huggingface.co/RyeAI/ekko-v1-tiny/resolve/main/ekko-v1-tiny.nemo
452 MB
- Xet hash:
- 68ca757ac53224102b0963b42a8f71305adaf81e21396de93ab02da111399998
- Size of remote file:
- 452 MB
- SHA256:
- c48614a2118bb634dc97a1497e3702940153e6db4d16b72f175a3ab94a06cece
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