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Download examples/conv_seq2seq/README.md from gradio/HuBERT: direct link, hf CLI and curl.
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- Download file 1.93 kB
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https://huggingface.co/spaces/gradio/HuBERT/resolve/main/examples/conv_seq2seq/README.md
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hf download hf://spaces/gradio/HuBERT/examples/conv_seq2seq/README.md
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curl -L -o README.md https://huggingface.co/spaces/gradio/HuBERT/resolve/main/examples/conv_seq2seq/README.md
1.93 kB
A newer version of the Gradio SDK is available: 6.31.0
Convolutional Sequence to Sequence Learning (Gehring et al., 2017)
Pre-trained models
| Description | Dataset | Model | Test set(s) |
|---|---|---|---|
| Convolutional (Gehring et al., 2017) |
WMT14 English-French | download (.tar.bz2) | newstest2014: download (.tar.bz2) newstest2012/2013: download (.tar.bz2) |
| Convolutional (Gehring et al., 2017) |
WMT14 English-German | download (.tar.bz2) | newstest2014: download (.tar.bz2) |
| Convolutional (Gehring et al., 2017) |
WMT17 English-German | download (.tar.bz2) | newstest2014: download (.tar.bz2) |
Example usage
See the translation README for instructions on reproducing results for WMT'14 En-De and
WMT'14 En-Fr using the fconv_wmt_en_de and fconv_wmt_en_fr model architectures.
Citation
@inproceedings{gehring2017convs2s,
title = {Convolutional Sequence to Sequence Learning},
author = {Gehring, Jonas, and Auli, Michael and Grangier, David and Yarats, Denis and Dauphin, Yann N},
booktitle = {Proc. of ICML},
year = 2017,
}