c79a92d2daf4cc9751e46ea4f47b42a4cd7fde60c8408738a1628a24f28efd23  README.md
d5a3e13065ebcb34496a53f1a9b83708123fd09c559800037d5eca5a66ba1e98  benchmark_results.txt
46ef1d8eaa9786a88506a54a71e6882969732e0f24070ad849b577e4791e9ad9  benchmark_translations.zip
d5ff17d7f5373c403a3ed253d963e5f487a2b95607abdb873429ad4de64db598  config.json
ce15a9d95dab088acce51412f52923d21211575a610d892cd6fa63d07ec7cc16  generation_config.json
7bc7e1973431752bcbb083c090c3c8f1e6eb3389d2e2e0faf9bf1a85d969a789  pytorch_model.bin
180d3f94ddfee5585d78b702290ded0f4f9bd40f299349c8383b32a579fefad4  source.spm
09059cedc26bc46bc09a52f05b92d4922e11917e87f3b92059bb1a63a59ab2c4  special_tokens_map.json
cd0c475692178b6c626aadaef01bd8f98d8053946938e4e67005fc1e4811d797  target.spm
d1c0ae7cc1a0792a689b16354433fd8825df850248e31a92b037233a1875b1da  tokenizer_config.json
01ef522455d2bf22b0716416ee34688cc2b3f5fa257f742665d21b6acc450ac1  vocab.json