Instructions to use LemOneLabs/Janus-Pro-1B-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use LemOneLabs/Janus-Pro-1B-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('any-to-any', 'LemOneLabs/Janus-Pro-1B-ONNX');
| { | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "bos_token": "<|begin▁of▁sentence|>", | |
| "clean_up_tokenization_spaces": false, | |
| "chat_template": [ | |
| { | |
| "name": "default", | |
| "template": "{% if messages[0]['role'] | lower == '<|system|>' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful language and vision assistant. You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language.' %}{% endif %}{{ bos_token + system_message }}{% for message in loop_messages %}{{ '\\n\\n' + message['role'] + ': ' + message['content'] | trim }}{% endfor %}{% if add_generation_prompt %}{{ '\\n\\n' + '<|Assistant|>:' }}{% endif %}" | |
| }, | |
| { | |
| "name": "text_to_image", | |
| "template": "{{ '<|begin▁of▁sentence|>' }}{% for message in messages %}{{ message['role'] + ': ' + message['content'] | trim + '\\n\\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|Assistant|>:<begin_of_image>' }}{% endif %}" | |
| } | |
| ], | |
| "eos_token": "<|end▁of▁sentence|>", | |
| "model_max_length": 16384, | |
| "pad_token": "<|▁pad▁|>", | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": null, | |
| "use_default_system_prompt": false | |
| } | |