# How to Access a Pipeline?

## Execution History

Execution history provides a detailed log of all fine-tuning executions for a selected model.

<figure><img src="/files/IADOyQDwrfWWKaH3tdd3" alt=""><figcaption></figcaption></figure>

**Notice:** Each record in history shows when the pipeline was started.

## Execution Details

The Execution details page provides a comprehensive overview of a fine-tuning job. It includes metadata, configuration settings, and model output information.

<figure><img src="/files/DArkZNk10itFNOgjjwwE" alt=""><figcaption></figcaption></figure>

The **Output model** is the result of the fine-tuning process. It links directly to the Private Model repository. You can access, deploy, or further manage the model from this location.

**Notice:** **Output model** will be visible when a fine-tuning job's status is **SUCCEEDED**.

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://ai-docs.fptcloud.com/fpt-ai-studio/services/model-fine-tuning/tutorials/how-to-access-a-pipeline.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.