docs: update inference API examples for reranker model (#1541)

* docs: update inference API examples for reranker model

- Update code examples to show correct input format for reranker
- Add examples for text/text_pair format required by mxbai-rerank-base-v1
- Include multiple input pairs to demonstrate batch processing
- Update curl, Python and JavaScript examples consistently

* undo hf lib reference

docs/api-inference/tasks/text-classification.md

@@ -37,54 +37,67 @@ Explore all available models and find the one that suits you best [here](https:/
 <inferencesnippet>
 
 <curl>
+
 ```bash
-curl https://api-inference.huggingface.co/models/distilbert/distilbert-base-uncased-finetuned-sst-2-english \
-	-X POST \
-	-d '{"inputs": "I like you. I love you"}' \
-	-H 'Content-Type: application/json' \
-	-H 'Authorization: Bearer hf_***'
+curl https://api-inference.huggingface.co/models/mixedbread-ai/mxbai-rerank-base-v1 \
+    -X POST \
+    -d '{"inputs": [{"text": "What is Paris?", "text_pair": "Paris is the capital of France"}]}' \
+    -H 'Content-Type: application/json' \
+    -H 'Authorization: Bearer hf_***'
 ```
+
 </curl>
 
 <python>
-```py
+
+```python
 import requests
 
-API_URL = "https://api-inference.huggingface.co/models/distilbert/distilbert-base-uncased-finetuned-sst-2-english"
+API_URL = "https://api-inference.huggingface.co/models/mixedbread-ai/mxbai-rerank-base-v1"
 headers = {"Authorization": "Bearer hf_***"}
 
 def query(payload):
-	response = requests.post(API_URL, headers=headers, json=payload)
-	return response.json()
-	
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+    
 output = query({
-	"inputs": "I like you. I love you",
+    "inputs": [
+        {"text": "What is Paris?", "text_pair": "Paris is the capital of France"},
+        {"text": "What is Paris?", "text_pair": "London is the capital of England"}
+    ]
 })
 ```
 
 To use the Python client, see `huggingface_hub`'s [package reference](https://huggingface.co/docs/huggingface_hub/package_reference/inference_client#huggingface_hub.InferenceClient.text_classification).
+
 </python>
 
 <js>
-```js
+
+```javascript
 async function query(data) {
-	const response = await fetch(
-		"https://api-inference.huggingface.co/models/distilbert/distilbert-base-uncased-finetuned-sst-2-english",
-		{
-			headers: {
-				Authorization: "Bearer hf_***",
-				"Content-Type": "application/json",
-			},
-			method: "POST",
-			body: JSON.stringify(data),
-		}
-	);
-	const result = await response.json();
-	return result;
+    const response = await fetch(
+        "https://api-inference.huggingface.co/models/mixedbread-ai/mxbai-rerank-base-v1",
+        {
+            headers: {
+                Authorization: "Bearer hf_***",
+                "Content-Type": "application/json",
+            },
+            method: "POST",
+            body: JSON.stringify(data),
+        }
+    );
+    const result = await response.json();
+    return result;
 }
 
-query({"inputs": "I like you. I love you"}).then((response) => {
-	console.log(JSON.stringify(response));
+query({
+    "inputs": [
+        {"text": "What is Paris?", "text_pair": "Paris is the capital of France"},
+        {"text": "What is Paris?", "text_pair": "London is the capital of England"}
+    ]
+}).then((response) => {
+    console.log(JSON.stringify(response));
 });
 ```
 
@@ -94,7 +107,6 @@ To use the JavaScript client, see `huggingface.js`'s [package reference](https:/
 </inferencesnippet>
 
 
-
 ### API specification
 
 #### Request