SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Fix typos in agents_advanced.md (#34405)

Browse Source
This commit is contained in:
Rudy Delouya
2024-10-25 17:52:29 +02:00
committed by GitHub
parent f73f5e62e2
commit 6a62a6d1b5
1 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
docs/source/en/agents_advanced.md
View File

@@ -66,10 +66,10 @@ manager_agent.run("Who is the CEO of Hugging Face?")
Let's take again the tool example from main documentation, for which we had implemented a `tool` decorator. Let's take again the tool example from main documentation, for which we had implemented a `tool` decorator.
If you need to add variation, like custom attributes for your too, you can build your tool following the fine-grained method: building a class that inherits from the [`Tool`] superclass. If you need to add variation, like custom attributes for your tool, you can build your tool following the fine-grained method: building a class that inherits from the [`Tool`] superclass.
The custom tool needs: The custom tool needs:
- An attribute `name`, which corresponds to the name of the tool itself. The name usually describes what the tool does. Since the code returns the model with the most downloads for a task, let's name is `model_download_counter`. - An attribute `name`, which corresponds to the name of the tool itself. The name usually describes what the tool does. Since the code returns the model with the most downloads for a task, let's name it `model_download_counter`.
- An attribute `description` is used to populate the agent's system prompt. - An attribute `description` is used to populate the agent's system prompt.
- An `inputs` attribute, which is a dictionary with keys `"type"` and `"description"`. It contains information that helps the Python interpreter make educated choices about the input. - An `inputs` attribute, which is a dictionary with keys `"type"` and `"description"`. It contains information that helps the Python interpreter make educated choices about the input.
- An `output_type` attribute, which specifies the output type. - An `output_type` attribute, which specifies the output type.