(seatunnel) branch dev updated: [Docs][Transform-v2][Embedding] Fix transform embedding option name (embedding_model_provider -> model_provider) (#9925)

[fanjia]

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The following commit(s) were added to refs/heads/dev by this push:
     new 229756971c [Docs][Transform-v2][Embedding] Fix transform embedding 
option name (embedding_model_provider -> model_provider) (#9925)
229756971c is described below

commit 229756971cd39dbbf1b0040efcff22cd0d7e3f19
Author: loupipalien <chenlantian.mich...@bytedance.com>
AuthorDate: Thu Oct 9 16:32:27 2025 +0800

    [Docs][Transform-v2][Embedding] Fix transform embedding option name 
(embedding_model_provider -> model_provider) (#9925)
---
 docs/en/transform-v2/embedding.md | 4 ++--
 docs/zh/transform-v2/embedding.md | 6 +++---
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/en/transform-v2/embedding.md 
b/docs/en/transform-v2/embedding.md
index 5c5bd4bf1c..d113537ee8 100644
--- a/docs/en/transform-v2/embedding.md
+++ b/docs/en/transform-v2/embedding.md
@@ -124,7 +124,7 @@ When `modality` is not explicitly specified and `format` is 
not `binary`, the sy
 
 ### model
 
-The specific embedding model to use. This depends on the 
`embedding_model_provider`. For example, if using OPENAI, you
+The specific embedding model to use. This depends on the `model_provider`. For 
example, if using OPENAI, you
 might specify `text-embedding-3-small`.
 
 ### api_path
@@ -240,7 +240,7 @@ source {
 transform {
   Embedding {
     plugin_input = "fake"
-    embedding_model_provider = QIANFAN
+    model_provider = QIANFAN
     model = bge_large_en
     api_key = xxxxxxxxxx
     secret_key = xxxxxxxxxx
diff --git a/docs/zh/transform-v2/embedding.md 
b/docs/zh/transform-v2/embedding.md
index 31ba604600..9379264236 100644
--- a/docs/zh/transform-v2/embedding.md
+++ b/docs/zh/transform-v2/embedding.md
@@ -34,7 +34,7 @@
 - 所有生成的 embedding 向量将以 float32 格式存储
 - 如果您的模型或API返回其他精度格式（如 float64），插件会自动转换为 float32
 
-### embedding_model_provider
+### model_provider
 
 用于生成 embedding 的模型提供商。常见选项包括 `AMAZON`、 `DOUBAO`、`QIANFAN`、`OPENAI` 等，同时可选择 
`CUSTOM` 实现自定义 embedding
 模型的请求以及获取。
@@ -117,7 +117,7 @@ vectorization_fields {
 
 ### model
 
-要使用的具体 embedding 模型。这取决于`embedding_model_provider`。例如，如果使用 OPENAI ，可以指定 
`text-embedding-3-small`。
+要使用的具体 embedding 模型。这取决于`model_provider`。例如，如果使用 OPENAI ，可以指定 
`text-embedding-3-small`。
 
 ### api_path
 
@@ -227,7 +227,7 @@ source {
 transform {
   Embedding {
     plugin_input = "fake"
-    embedding_model_provider = QIANFAN
+    model_provider = QIANFAN
     model = bge_large_en
     api_key = xxxxxxxxxx
     secret_key = xxxxxxxxxx