Automatic Speech Recognition
ONNX
K2
Turkish
sherpa-onnx
speech
asr
streaming
zipformer
transducer
icefall
Eval Results (legacy)
Instructions to use atasoglu/seda-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- K2
How to use atasoglu/seda-v0.2 with K2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download decoder.onnx from atasoglu/seda-v0.2: direct link, hf CLI and curl.
- Browser
- Download file 2.09 MB
-
https://huggingface.co/atasoglu/seda-v0.2/resolve/main/decoder.onnx
- Command line
-
hf download hf://atasoglu/seda-v0.2/decoder.onnx
-
curl -L -o decoder.onnx https://huggingface.co/atasoglu/seda-v0.2/resolve/main/decoder.onnx
2.09 MB
- Xet hash:
- 84af28b81d6f9651fb9490e997c222e77251726eb2b3d6b49a7bb14dd7bf7498
- Size of remote file:
- 2.09 MB
- SHA256:
- d108635fa0d598ddfc62dfdbb052ce88b7a6622f1d03e09b02554a26d6872e91
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.