langchain/docs/versioned_docs/version-0.2.x/integrations/tools/huggingface_tools.ipynb

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    "# HuggingFace Hub Tools\n",
    "\n",
    ">[Huggingface Tools](https://huggingface.co/docs/transformers/v4.29.0/en/custom_tools) that supporting text I/O can be\n",
    "loaded directly using the `load_huggingface_tool` function."
   ]
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   "source": [
    "# Requires transformers>=4.29.0 and huggingface_hub>=0.14.1\n",
    "%pip install --upgrade --quiet  transformers huggingface_hub > /dev/null"
   ]
  },
  {
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     "text": [
      "model_download_counter: 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\n"
     ]
    }
   ],
   "source": [
    "from langchain.agents import load_huggingface_tool\n",
    "\n",
    "tool = load_huggingface_tool(\"lysandre/hf-model-downloads\")\n",
    "\n",
    "print(f\"{tool.name}: {tool.description}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "641d9d79-95bb-469d-b40a-50f37375de7f",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "'facebook/bart-large-mnli'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "tool.run(\"text-classification\")"
   ]
  },
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