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 comparison.png from RyeAI/ekko-v1-tiny: direct link, hf CLI and curl.
- Browser
- Download file 205 kB
-
https://huggingface.co/RyeAI/ekko-v1-tiny/resolve/main/comparison.png
- Command line
-
hf download hf://RyeAI/ekko-v1-tiny/comparison.png
-
curl -L -o comparison.png https://huggingface.co/RyeAI/ekko-v1-tiny/resolve/main/comparison.png
205 kB

- Xet hash:
- 9a8c8f2235922a8337dcb9b4d2e7965831d6f0213620cce9b25b38b5fa2cc883
- Size of remote file:
- 205 kB
- SHA256:
- a9d8ff7ca55ba108520477a175e105d5597260db102cc4f5c05472383b3bf2be
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