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| from transformers import Tool | |
| from huggingface_hub import list_models | |
| 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 takes the name of the category (such as text-classification, depth-estimation, etc), and " | |
| "returns the name of the checkpoint." | |
| ) | |
| inputs = ["text"] | |
| outputs = ["text"] | |
| def __call__(self, task: str): | |
| model = next(iter(list_models(filter=task, sort="downloads", direction=-1))) | |
| return model.id |