7 Commits

Author	SHA1	Message	Date
Fangjun Kuang	34e40a86b3	Fix exporting decoder model to onnx (#1264) ... * Use torch.jit.script() to export the decoder model See also https://github.com/k2-fsa/sherpa-onnx/issues/327	2023-09-22 09:57:15 +08:00
zr_jin	a81396b482	Use tokens.txt to replace bpe.model (#1162)	2023-08-12 16:53:59 +08:00
Wei Kang	db71b03026	Support int8 quantization in decoder (#1152)	2023-06-29 16:48:59 +08:00
Fangjun Kuang	968ebd236b	Fix ONNX export of the latest streaming zipformer model. (#1148)	2023-06-27 14:35:59 +08:00
Wei Kang	219bba1310	zipformer wenetspeech (#1130) ... * copy files * update train.py * small fixes * Add decode.py * Fix dataloader in decode.py * add blank penalty * Add blank-penalty to other decoding method * Minor fixes * add zipformer2 recipe * Minor fixes * Remove pruned7 * export and test models * Replace bpe with tokens in export.py and pretrain.py * Minor fixes * Minor fixes * Minor fixes * Fix export * Update results * Fix zipformer-ctc * Fix ci * Fix ci * Fix CI * Fix CI --------- Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>	2023-06-26 09:33:18 +08:00
Zengwei Yao	0ad037d076	Add CTC loss option in zipformer recipe (#1111) ... * add CTC loss option in zipformer recipe * add ctc_decode.py * support CTC model export, add jit_pretrained_ctc.py, pretrained_ctc.py * update README.md and RESULTS.md * add CI test	2023-06-14 14:27:29 +08:00
danfu	0cb71ad3bc	add updated zipformer onnx export (#1108) ... Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>	2023-06-12 14:02:23 +08:00