From 9ba0dbd98bf69c830dfcfde8f109a400cb65e4e5 Mon Sep 17 00:00:00 2001 From: 雾聪 <wucong.lyb@alibaba-inc.com> Date: 星期五, 29 三月 2024 17:24:59 +0800 Subject: [PATCH] fix func Forward --- README.md | 38 ++++++++++++++++++++++++++++++++++---- 1 files changed, 34 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index d34249d..38fd686 100644 --- a/README.md +++ b/README.md @@ -210,7 +210,37 @@ More examples ref to [docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/examples/industrial_data_pretraining) -[//]: # (FunASR supports inference and fine-tuning of models trained on industrial datasets of tens of thousands of hours. For more details, please refer to ([modelscope_egs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html)). It also supports training and fine-tuning of models on academic standard datasets. For more details, please refer to([egs](https://alibaba-damo-academy.github.io/FunASR/en/academic_recipe/asr_recipe.html)). The models include speech recognition (ASR), speech activity detection (VAD), punctuation recovery, language model, speaker verification, speaker separation, and multi-party conversation speech recognition. For a detailed list of models, please refer to the [Model Zoo](https://github.com/alibaba-damo-academy/FunASR/blob/main/docs/model_zoo/modelscope_models.md):) + +## Export ONNX + +### Command-line usage +```shell +funasr-export ++model=paraformer ++quantize=false ++device=cpu +``` + +### Python +```python +from funasr import AutoModel + +model = AutoModel(model="paraformer", device="cpu") + +res = model.export(quantize=False) +``` + +### Text ONNX +```python +# pip3 install -U funasr-onnx +from funasr_onnx import Paraformer +model_dir = "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" +model = Paraformer(model_dir, batch_size=1, quantize=True) + +wav_path = ['~/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav'] + +result = model(wav_path) +print(result) +``` + +More examples ref to [demo](runtime/python/onnxruntime) ## Deployment Service FunASR supports deploying pre-trained or further fine-tuned models for service. Currently, it supports the following types of service deployment: @@ -229,9 +259,9 @@ You can also scan the following DingTalk group or WeChat group QR code to join the community group for communication and discussion. -|DingTalk group | WeChat group | -|:---:|:-----------------------------------------------------:| -|<div align="left"><img src="docs/images/dingding.jpg" width="250"/> | <img src="docs/images/wechat.png" width="215"/></div> | +| DingTalk group | WeChat group | +|:-------------------------------------------------------------------:|:-----------------------------------------------------:| +| <div align="left"><img src="docs/images/dingding.png" width="250"/> | <img src="docs/images/wechat.png" width="215"/></div> | ## Contributors -- Gitblit v1.9.1