From 04c74dabf5944935258fc74fe5d5a685496c77c7 Mon Sep 17 00:00:00 2001
From: chong.zhang <chong.zhang@alibaba-inc.com>
Date: 星期五, 05 五月 2023 16:29:05 +0800
Subject: [PATCH] add itn_pipeline.md

---
 docs/modelscope_pipeline/itn_pipeline.md |   17 ++++-------------
 1 files changed, 4 insertions(+), 13 deletions(-)

diff --git a/docs/modelscope_pipeline/itn_pipeline.md b/docs/modelscope_pipeline/itn_pipeline.md
index 7f27f26..15380f3 100644
--- a/docs/modelscope_pipeline/itn_pipeline.md
+++ b/docs/modelscope_pipeline/itn_pipeline.md
@@ -30,17 +30,17 @@
 
 Full code of demo, please ref to [demo](https://github.com/alibaba-damo-academy/FunASR/tree/main/fun_text_processing/inverse_text_normalization)
 
-#### Modify Your Own ITN Model
+### Modify Your Own ITN Model
 The rule-based ITN code is open-sourced in [FunTextProcessing](https://github.com/alibaba-damo-academy/FunASR/tree/main/fun_text_processing), users can modify by their own grammar rules. After modify the rules, the users can export their own ITN models in local directory.
 
-##### Export ITN Model
+### Export ITN Model
 Use the code in FunASR to export ITN model. An example to export ITN model to local folder is shown as below.
 ```shell
 cd fun_text_processing/inverse_text_normalization/
 python export_models.py --language ja --export_dir ./itn_models/
 ```
 
-##### Evaluate ITN Model
+### Evaluate ITN Model
 Users can evaluate their own ITN model in local directory. Here is an example:
 ```shell
 python fun_text_processing/inverse_text_normalization/inverse_normalize.py --input_file ja_itn_example.txt --cache_dir ./itn_models/ --output_file output.txt --language=ja
@@ -58,13 +58,4 @@
   - text bytes, `e.g.`: "涓�涔濅節涔濆勾銇獣鐢熴仐銇熷悓鍟嗗搧銇仭銇伩銆佺磩涓夊崄骞村墠銆佷簩鍗佸洓姝炽伄闋冦伄骞稿洓閮庛伄鍐欑湡銈掑叕闁嬨��"
   - text file, `e.g.`: https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_text/ja_itn_example.txt
   In this case of `text file` input, `output_dir` must be set to save the output results
-
-
-## Finetune with pipeline
-
-### Quick start
-
-### Finetune with your data
-
-## Inference with your finetuned model
-
+  
\ No newline at end of file

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