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 cover.png from RyeAI/ekko-v1-tiny: direct link, hf CLI and curl.
- Browser
- Download file 629 kB
-
https://huggingface.co/RyeAI/ekko-v1-tiny/resolve/main/cover.png
- Command line
-
hf download hf://RyeAI/ekko-v1-tiny/cover.png
-
curl -L -o cover.png https://huggingface.co/RyeAI/ekko-v1-tiny/resolve/main/cover.png
629 kB

- Xet hash:
- 0075494e2976fe4ec1672bdcefaae396d9294529cd622b96eb1465672684ba11
- Size of remote file:
- 629 kB
- SHA256:
- 976da089c1f75aab3ffa99429c804ad0c40cffb47285b7f5662933f1fcdf727a
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