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 size-vs-accuracy.png from RyeAI/ekko-v1-tiny: direct link, hf CLI and curl.
- Browser
- Download file 41.2 kB
-
https://huggingface.co/RyeAI/ekko-v1-tiny/resolve/main/size-vs-accuracy.png
- Command line
-
hf download hf://RyeAI/ekko-v1-tiny/size-vs-accuracy.png
-
curl -L -o size-vs-accuracy.png https://huggingface.co/RyeAI/ekko-v1-tiny/resolve/main/size-vs-accuracy.png
41.2 kB

- Xet hash:
- e0223ca4a710e3b4634b6f43f461f6463cb191dc7680fa03a5e24576cc366870
- Size of remote file:
- 41.2 kB
- SHA256:
- 1141c8dbf86a8aa90483f1e911b87a05ed7839cb7f234337fcabe5410c71e676
·
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