| We can do that with the following code: | |
| thon | |
| from huggingface_hub import list_models | |
| task = "text-classification" | |
| model = next(iter(list_models(filter=task, sort="downloads", direction=-1))) | |
| print(model.id) | |
| For the task text-classification, this returns 'facebook/bart-large-mnli', for translation it returns 'google-t5/t5-base. |