model_downloads.py

from transformers import Tool
from huggingface_hub import list_models

class HFModelDownloadsTool(Tool):
    task = "model_download_counter"
    description = (
        "This is a tool that returns the most downloaded model of a given task on the Hugging Face Hub. "
        "It returns the task of the checkpoint."
    )

    inputs = {
        "name": {
            "type": str,
            "description": "the name of the category (such as text-classification, depth-estimation, etc)",
        }
    }
    output_type = str

    def __call__(self, task: str):
        model = next(iter(list_models(filter=task, sort="downloads", direction=-1)))
        return model.id