6 Commits

Author	SHA1	Message	Date
Fangjun Kuang	fba5e67d5e	Fix CI tests. (#1974) ... - Introduce unified AMP helpers (create_grad_scaler, torch_autocast) to handle deprecations in PyTorch ≥2.3.0 - Replace direct uses of torch.cuda.amp.GradScaler and torch.cuda.amp.autocast with the new utilities across all training and inference scripts - Update all torch.load calls to include weights_only=False for compatibility with newer PyTorch versions	2025-07-01 13:47:55 +08:00
Fangjun Kuang	8136ad775b	Use high_freq -400 in computing fbank features. (#1447) ... See also https://github.com/k2-fsa/sherpa-onnx/issues/514	2024-01-04 13:59:32 +08:00
zr_jin	a81396b482	Use tokens.txt to replace bpe.model (#1162)	2023-08-12 16:53:59 +08:00
Fangjun Kuang	130ad0319d	Fix CI test for zipformer CTC (#1165)	2023-07-05 10:38:29 +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