diff --git a/docs/my-website/docs/fine_tuning.md b/docs/my-website/docs/fine_tuning.md
index 009511973..d347b6df7 100644
--- a/docs/my-website/docs/fine_tuning.md
+++ b/docs/my-website/docs/fine_tuning.md
@@ -1,3 +1,6 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
 # [Beta] Fine-tuning API
 
 
@@ -11,7 +14,7 @@ This is an Enterprise only endpoint [Get Started with Enterprise here](https://c
 - Azure OpenAI
 - OpenAI
 
-
+Add `finetune_settings` and `files_settings` to your litellm config.yaml to use the fine-tuning endpoints.
 ## Usage
 ```yaml
 model_list:
@@ -25,7 +28,7 @@ model_list:
 finetune_settings:
   - custom_llm_provider: azure
     api_base: https://exampleopenaiendpoint-production.up.railway.app
-    api_key: fake-key
+    api_key: os.environ/AZURE_API_KEY
     api_version: "2023-03-15-preview"
   - custom_llm_provider: openai
     api_key: os.environ/OPENAI_API_KEY
@@ -42,9 +45,33 @@ files_settings:
 
 ## Create File for Fine Tuning
 
+<Tabs>
+<TabItem value="openai" label="OpenAI Python v1.0.0+">
+
+```python
+client = AsyncOpenAI(api_key="sk-1234", base_url="http://0.0.0.0:4000") # base_url is your litellm proxy url
+
+file_name = "openai_batch_completions.jsonl"
+response = await client.files.create(
+    extra_body={"custom_llm_provider": "azure"}, # tell litellm proxy which provider to use
+    file=open(file_name, "rb"),
+    purpose="fine-tune",
+)
+```
+</TabItem>
+</Tabs>
+
 ## Create fine-tuning job
 
+<Tabs>
+</Tabs>
+
 ## Cancel fine-tuning job
 
+<Tabs>
+</Tabs>
+
 ## List fine-tuning jobs
 
+<Tabs>
+</Tabs>