7 Commits

Author	SHA1	Message	Date
Fangjun Kuang	21096e99d8	Update result for the librispeech recipe using vocab size 500 and att rate 0.8 (#113) ... * Update RESULTS using vocab size 500, att rate 0.8 * Update README. * Refactoring. Since FSAs in an Nbest object are linear in structure, we can add the scores of a path to compute the total scores. * Update documentation. * Change default vocab size from 5000 to 500.	2021-11-10 14:32:52 +08:00
Fangjun Kuang	beb54ddb61	Support torch script. (#65) ... * WIP: Support torchscript. * Minor fixes. * Fix style issues. * Add documentation about how to deploy a trained model.	2021-10-12 14:55:05 +08:00
Fangjun Kuang	96e7f5c7ea	Release v0.1 (#26)	2021-08-24 21:30:30 +08:00
Fangjun Kuang	6c2c9b9d74	Add recipe for the yes_no dataset. (#16) ... * Add recipe for the yes_no dataset. * Refactoring: Remove unused code. * Add Colab notebook for the yesno dataset. * Add GitHub actions to run yesno. * Fix a typo. * Minor fixes. * Train more epochs for GitHub actions. * Minor fixes. * Minor fixes. * Fix style issues.	2021-08-23 11:36:29 +08:00
Fangjun Kuang	0b656e4e1c	Add a link to Colab. (#14) ... It demonstrates the usages of pre-trained models.	2021-08-20 15:43:25 +08:00
Fangjun Kuang	12a2fd023e	Add doc about installation and usage (#7) ... * Add readme. * Add TOC. * fix typos * Minor fixes after review.	2021-08-12 12:44:04 +08:00
Fangjun Kuang	0d16431766	First commit.	2021-07-15 17:35:54 +08:00