From 80f90dd07623fcdcc1a942f90925cc190d57b0d1 Mon Sep 17 00:00:00 2001 From: lingyunfly <121302812+lingyunfly@users.noreply.github.com> Date: 星期二, 30 五月 2023 16:40:23 +0800 Subject: [PATCH] support in_cache (#560) --- docs/model_zoo/modelscope_models.md | 5 +++-- 1 files changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/model_zoo/modelscope_models.md b/docs/model_zoo/modelscope_models.md index 1b7f475..0adb0af 100644 --- a/docs/model_zoo/modelscope_models.md +++ b/docs/model_zoo/modelscope_models.md @@ -1,7 +1,8 @@ # Pretrained Models on ModelScope ## Model License -- Apache License 2.0 +You are free to use, copy, modify, and share FunASR under the conditions of this agreement. To upload FunASR to any third-party platform for download and use, you need to obtain an additional license, which can be applied for free through official email (funasr@list.alibaba-inc.com). You must also indicate the code and model source and author information when using, copying, modifying and sharing FunASR. Full license could see [license](https://github.com/alibaba-damo-academy/FunASR/blob/main/LICENSE) + ## Model Zoo Here we provided several pretrained models on different datasets. The details of models and datasets can be found on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition). @@ -45,7 +46,7 @@ | [UniASR Burmese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-my-16k-common-vocab696-pytorch/summary) | MY | Alibaba Speech Data (1000 hours) | 696 | 95M | Online | UniASR streaming offline unifying models | | [UniASR Hebrew](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/summary) | HE | Alibaba Speech Data (1000 hours) | 1085 | 95M | Online | UniASR streaming offline unifying models | | [UniASR Urdu](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ur-16k-common-vocab877-pytorch/summary) | UR | Alibaba Speech Data (1000 hours) | 877 | 95M | Online | UniASR streaming offline unifying models | - +| [UniASR Turkish](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/summary) | TR | Alibaba Speech Data (1000 hours) | 1582 | 95M | Online | UniASR streaming offline unifying models | #### Conformer Models -- Gitblit v1.9.1