Image-Text-to-Text
Transformers
Safetensors
multilingual
hunyuan_vl_mot
hunyuan
vision-language
Embodied
image-to-text
2B
end-to-end
MoT
conversational
custom_code
Instructions to use Jayyun6/HY-Embodied-0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jayyun6/HY-Embodied-0.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Jayyun6/HY-Embodied-0.5", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("Jayyun6/HY-Embodied-0.5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Jayyun6/HY-Embodied-0.5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Jayyun6/HY-Embodied-0.5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jayyun6/HY-Embodied-0.5", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/Jayyun6/HY-Embodied-0.5
- SGLang
How to use Jayyun6/HY-Embodied-0.5 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Jayyun6/HY-Embodied-0.5" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jayyun6/HY-Embodied-0.5", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Jayyun6/HY-Embodied-0.5" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jayyun6/HY-Embodied-0.5", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use Jayyun6/HY-Embodied-0.5 with Docker Model Runner:
docker model run hf.co/Jayyun6/HY-Embodied-0.5
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8ce5487 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 | {%- if not add_generation_prompt is defined %}
{%- set add_generation_prompt = false %}
{%- endif %}
{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true, is_first_user=true, is_last_user=false) %}
{%- for message in messages %}
{%- if message['role'] == 'system' %}
{%- if ns.is_first_sp %}
{%- set ns.system_prompt = ns.system_prompt + message['content'] %}
{%- set ns.is_first_sp = false %}
{%- else %}
{% set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %}
{%- endif %}
{%- endif %}
{%- endfor %}
{{- bos_token }}
{{- ns.system_prompt }}
{%- if tools %}
{%- if ns.system_prompt != '' %}
{{- '\n\n# Tools\n\nYou may call one or more functions to assist with the user query.' }}
{%- else %}
{{- '# Tools\n\nYou may call one or more functions to assist with the user query.' }}
{%- endif %}
{{- '\n\nYou are provided with function signatures within <tools></tools> XML tags:' }}
{{- '\n<tools>\n' }}
{%- for tool in tools %}
{%- if loop.index0 > 1 %}
{{- '\n' }}
{%- endif %}
{{- tool | tojson }}
{%- endfor %}
{{- '\n</tools>\n\n' }}
{{- 'For function call returns, you should first print <tool_calls>' }}
{{- 'For each function call, you should return object like:\n' }}
{{- '<tool_call>function_name\n```json\nfunction_arguments_in_json_format\n```</tool_call>' }}
{{- 'At the end of function call returns, you should print </tool_calls>' }}
{%- endif %}
{%- if ns.system_prompt != '' or tools %}
{{- '<|hy_place▁holder▁no▁3|>' }}
{%- endif %}
{%- set image_count = namespace(value=0) %}
{%- set video_count = namespace(value=0) %}
{%- set last_user_idx = namespace(value=-1) %}
{%- for message in messages %}
{%- if message['role'] == 'user' %}
{%- set last_user_idx.value = loop.index0 %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if message['role'] == 'user' %}
{%- set ns.is_tool = false %}
{%- set ns.is_first = false %}
{%- set ns.is_last_user = true %}
{{- '<|hy_User|>'}}
{%- if message.content is string %}
{{- message.content }}
{%- else %}
{%- for content in message.content %}
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
{%- set image_count.value = image_count.value + 1 %}
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
<|hy_place▁holder▁no▁666|><|hy_place▁holder▁no▁669|><|hy_place▁holder▁no▁672|><|hy_place▁holder▁no▁667|>
{%- elif content.type == 'video' or 'video' in content %}
{%- set video_count.value = video_count.value + 1 %}
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
<|hy_place▁holder▁no▁666|><|hy_place▁holder▁no▁670|><|hy_place▁holder▁no▁672|><|hy_place▁holder▁no▁667|>
{%- elif 'text' in content %}
{{- content.text }}
{%- endif %}
{%- endfor %}
{%- endif %}
{%- if loop.index0 == last_user_idx.value %}
{%- if enable_thinking is defined and enable_thinking %}
{{- '/think' }}
{%- else %}
{{- '/no_think' }}
{%- endif %}
{%- else %}
{{- '/no_think' }}
{%- endif %}
{%- endif %}
{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}
{%- set ns.is_last_user = false %}
{%- if ns.is_tool %}
{{- '</tool_responses>' }}
{%- endif %}
{{- '<|hy_Assistant|>' }}
{%- set ns.is_first = false %}
{%- set ns.is_tool = false %}
{%- set ns.is_output_first = true %}
{%- for tool in message['tool_calls'] %}
{%- set arguments = tool['function']['arguments'] %}
{%- if arguments is not string %}
{%- set arguments = arguments | tojson %}
{%- endif %}
{%- if not ns.is_first %}
{%- if message['content'] is none %}
{{- '<tool_calls><tool_call>' + tool['function']['name'] + '\n```json\n' + arguments + '\n```</tool_call>' }}
{%- else %}
{{- message['content'] + '<tool_calls><tool_call>' + tool['function']['name'] + '\n```json\n' + arguments + '\n```</tool_call>' }}
{%- endif %}
{%- set ns.is_first = true %}
{%- else %}
{{- '\n<tool_call>' + tool['function']['name'] + '\n```json\n' + arguments + '\n```</tool_call>' }}
{%- endif %}
{%- endfor %}
{{- '</tool_calls>' + eos_token }}
{%- endif %}
{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}
{%- set ns.is_last_user = false %}
{{- '<|hy_Assistant|>' }}
{{- '<think>\n\n</think>\n' }}
{{- '<answer>\n' }}
{%- if message['content'] is string %}
{{- message['content'] }}
{%- else %}
{%- for content_item in message['content'] %}
{%- if 'text' in content_item %}
{{- content_item['text'] }}
{%- endif %}
{%- endfor %}
{%- endif %}
{{- '\n</answer>' }}
{{- eos_token }}
{%- endif %}
{%- if message['role'] == 'tool' %}
{%- set ns.is_last_user = false %}
{%- set ns.is_tool = true %}
{%- if ns.is_output_first %}
{{- '<|hy_User|>' + '<tool_responses><tool_response>' + message['content'] + '</tool_response>' }}
{%- set ns.is_output_first = false %}
{%- else %}
{{- '\n<tool_response>' + message['content'] + '</tool_response>' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if ns.is_tool %}
{{- '</tool_responses>' }}
{%- endif %}
{%- if add_generation_prompt %}
{{- '<|hy_Assistant|>' }}
{%- if enable_thinking is defined and enable_thinking %}
{{- '<think>' }}
{%- else %}
{{- '<think>\n\n</think>\n' }}
{%- endif %}
{%- endif %} |