Fix chat completion package reference links

Author: hanouticelina

docs/api-inference/tasks/chat-completion.md

@@ -15,18 +15,20 @@ For more details, check out:
 ## Chat Completion
 
 Generate a response given a list of messages in a conversational context, supporting both conversational Language Models (LLMs) and conversational Vision-Language Models (VLMs).
-This is a subtask of [`text-generation`](./text_generation) and [`image-text-to-text`](./image_text_to_text).
+This is a subtask of [`text-generation`](https://huggingface.co/docs/api-inference/tasks/text-generation) and [`image-text-to-text`](https://huggingface.co/docs/api-inference/tasks/image-text-to-text).
 
 ### Recommended models
 
 #### Conversational Large Language Models (LLMs)
+
 - [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it): A text-generation model trained to follow instructions.
 - [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct): Very powerful text generation model trained to follow instructions.
 - [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct): Small yet powerful text generation model.
 - [HuggingFaceH4/starchat2-15b-v0.1](https://huggingface.co/HuggingFaceH4/starchat2-15b-v0.1): Strong coding assistant model.
 - [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407): Very strong open-source large language model.
 
 #### Conversational Vision-Language Models (VLMs)
+
 - [microsoft/Phi-3.5-vision-instruct](https://huggingface.co/microsoft/Phi-3.5-vision-instruct): Strong image-text-to-text model.
 
 ### Using the API
@@ -72,7 +74,7 @@ for message in client.chat_completion(
     print(message.choices[0].delta.content, end="")
 ```
 
-To use the Python client, see `huggingface_hub`'s [package reference](https://huggingface.co/docs/huggingface_hub/package_reference/inference_client#huggingface_hub.InferenceClient.conversational_text-generation).
+To use the Python client, see `huggingface_hub`'s [package reference](https://huggingface.co/docs/huggingface_hub/package_reference/inference_client#huggingface_hub.InferenceClient.chat_completion).
 </python>
 
 <js>
@@ -90,7 +92,7 @@ for await (const chunk of inference.chatCompletionStream({
 }
 ```
 
-To use the JavaScript client, see `huggingface.js`'s [package reference](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#conversationaltext-generation).
+To use the JavaScript client, see `huggingface.js`'s [package reference](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#chatcompletion).
 </js>
 
 </inferencesnippet>
@@ -150,7 +152,7 @@ for message in client.chat_completion(
 	print(message.choices[0].delta.content, end="")
 ```
 
-To use the Python client, see `huggingface_hub`'s [package reference](https://huggingface.co/docs/huggingface_hub/package_reference/inference_client#huggingface_hub.InferenceClient.conversational_image-text-to-text).
+To use the Python client, see `huggingface_hub`'s [package reference](https://huggingface.co/docs/huggingface_hub/package_reference/inference_client#huggingface_hub.InferenceClient.chat_completion).
 </python>
 
 <js>
@@ -177,7 +179,7 @@ for await (const chunk of inference.chatCompletionStream({
 }
 ```
 
-To use the JavaScript client, see `huggingface.js`'s [package reference](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#conversationalimage-text-to-text).
+To use the JavaScript client, see `huggingface.js`'s [package reference](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#chatcompletion).
 </js>
 
 </inferencesnippet>

scripts/api-inference/scripts/generate.ts

@@ -450,9 +450,10 @@ TASKS.forEach((task) => {
 ///////////////////////////////////////////////
 
 function fetchChatCompletion() {
+  const baseName = "chat-completion";
   const conversationalTasks = [
     {
-      name: "conversational-text-generation",
+      name: "chat-completion",
       baseName: "text-generation",
       pipelineTag: "text-generation"
     },
@@ -491,11 +492,10 @@ function fetchChatCompletion() {
       // @ts-ignore
       javascript: GET_SNIPPET_FN["js"](mainModelData, "hf_***"),
     };
-
     DATA.snippets[task.name] = SNIPPETS_TEMPLATE({
       taskSnippets,
-      taskSnakeCase: task.name.replace("-", "_"),
-      taskAttached: task.name.replace("-", ""),
+      taskSnakeCase: baseName.replace("-", "_"),
+      taskAttached: baseName.replace("-", ""),
     });
 
   });

scripts/api-inference/templates/task/chat-completion.handlebars

@@ -6,11 +6,13 @@ This is a subtask of [`text-generation`](https://huggingface.co/docs/api-inferen
 ### Recommended models
 
 #### Conversational Large Language Models (LLMs)
-{{#each models.conversational-text-generation}}
+
+{{#each models.chat-completion}}
 - [{{this.id}}](https://huggingface.co/{{this.id}}): {{this.description}}
 {{/each}}
 
 #### Conversational Vision-Language Models (VLMs)
+
 {{#each models.conversational-image-text-to-text}}
 - [{{this.id}}](https://huggingface.co/{{this.id}}): {{this.description}}
 {{/each}}
@@ -25,7 +27,7 @@ The API supports:
 
 #### Code snippet example for conversational LLMs
 
-{{{snippets.conversational-text-generation}}}
+{{{snippets.chat-completion}}}
 
 #### Code snippet example for conversational VLMs
 

scripts/api-inference/templates/task/image-text-to-text.handlebars

@@ -18,6 +18,6 @@ Image-text-to-text models take in an image and text prompt and output text. Thes
 
 ### API specification
 
-For the API specification for conversational image-text-to-text models, please refer to the [Chat Completion API documentation](https://huggingface.co/docs/api-inference/tasks/chat-completion#api-specification).
+For the API specification of conversational image-text-to-text models, please refer to the [Chat Completion API documentation](https://huggingface.co/docs/api-inference/tasks/chat-completion#api-specification).