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@huggingface/hub\n```\n\nYou can then load a tokenizer from the Hugging Face Hub and render a list of chat messages, as follows:\n\n```js\nimport { Template } from \"@huggingface/jinja\";\nimport { downloadFile } from \"@huggingface/hub\";\n\nconst config = await (\n\tawait downloadFile({\n\t\trepo: \"mistralai/Mistral-7B-Instruct-v0.1\",\n\t\tpath: \"tokenizer_config.json\",\n\t})\n).json();\n\nconst chat = [\n\t{ role: \"user\", content: \"Hello, how are you?\" },\n\t{ role: \"assistant\", content: \"I'm doing great. How can I help you today?\" },\n\t{ role: \"user\", content: \"I'd like to show off how chat templating works!\" },\n];\n\nconst template = new Template(config.chat_template);\nconst result = template.render({\n\tmessages: chat,\n\tbos_token: config.bos_token,\n\teos_token: config.eos_token,\n});\n// \"<s>[INST] Hello, how are you? [/INST]I'm doing great. How can I help you today?</s> [INST] I'd like to show off how chat templating works! [/INST]\"\n```\n\n### Transformers.js\n\nFirst, install `@huggingface/transformers`:\n\n```sh\nnpm i @huggingface/transformers\n```\n\nYou can then render a list of chat messages using a tokenizer's `apply_chat_template` method.\n\n```js\nimport { AutoTokenizer } from \"@huggingface/transformers\";\n\n// Load tokenizer from the Hugging Face Hub\nconst tokenizer = await AutoTokenizer.from_pretrained(\"mistralai/Mistral-7B-Instruct-v0.1\");\n\n// Define chat messages\nconst chat = [\n\t{ role: \"user\", content: \"Hello, how are you?\" },\n\t{ role: \"assistant\", content: \"I'm doing great. How can I help you today?\" },\n\t{ role: \"user\", content: \"I'd like to show off how chat templating works!\" },\n];\n\nconst text = tokenizer.apply_chat_template(chat, { tokenize: false });\n// \"<s>[INST] Hello, how are you? [/INST]I'm doing great. How can I help you today?</s> [INST] I'd like to show off how chat templating works! [/INST]\"\n```\n\nNotice how the entire chat is condensed into a single string. If you would instead like to return the tokenized version (i.e., a list of token IDs), you can use the following:\n\n```js\nconst input_ids = tokenizer.apply_chat_template(chat, { tokenize: true, return_tensor: false });\n// [1, 733, 16289, 28793, 22557, 28725, 910, 460, 368, 28804, 733, 28748, 16289, 28793, 28737, 28742, 28719, 2548, 1598, 28723, 1602, 541, 315, 1316, 368, 3154, 28804, 2, 28705, 733, 16289, 28793, 315, 28742, 28715, 737, 298, 1347, 805, 910, 10706, 5752, 1077, 3791, 28808, 733, 28748, 16289, 28793]\n```\n\nFor more information about chat templates, check out the transformers [documentation](https://huggingface.co/docs/transformers/main/en/chat_templating).\n","readmeFilename":"README.md"}