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from smolagents.tools import Tool
import huggingface_hub
class HFModelDownloadsTool(Tool):
name = "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 name of the checkpoint."""
inputs = {'task': {'type': 'string', 'description': 'the task category (such as text-classification, depth-estimation, etc)'}}
output_type = "string"
def forward(self, task: str):
from huggingface_hub import list_models
model = next(iter(list_models(filter=task, sort="downloads", direction=-1)))
return model.id
def __init__(self, *args, **kwargs):
self.is_initialized = False