Image-Text-to-Text
Transformers
Safetensors
English
Chinese
text-generation
GUI
GUI-Grounding
Vision-language
multimodal
conversational
custom_code
Instructions to use yappertar4/Sergup-SPT-9B0on-Tencent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yappertar4/Sergup-SPT-9B0on-Tencent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="yappertar4/Sergup-SPT-9B0on-Tencent", 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 AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("yappertar4/Sergup-SPT-9B0on-Tencent", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use yappertar4/Sergup-SPT-9B0on-Tencent with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "yappertar4/Sergup-SPT-9B0on-Tencent" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "yappertar4/Sergup-SPT-9B0on-Tencent", "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/yappertar4/Sergup-SPT-9B0on-Tencent
- SGLang
How to use yappertar4/Sergup-SPT-9B0on-Tencent 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 "yappertar4/Sergup-SPT-9B0on-Tencent" \ --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": "yappertar4/Sergup-SPT-9B0on-Tencent", "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 "yappertar4/Sergup-SPT-9B0on-Tencent" \ --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": "yappertar4/Sergup-SPT-9B0on-Tencent", "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 yappertar4/Sergup-SPT-9B0on-Tencent with Docker Model Runner:
docker model run hf.co/yappertar4/Sergup-SPT-9B0on-Tencent
| base_model: | |
| - Qwen/Qwen3-8B-Base | |
| - tencent/POINTS-Reader | |
| - WePOINTS/POINTS-1-5-Qwen-2-5-7B-Chat | |
| language: | |
| - en | |
| - zh | |
| license: other | |
| metrics: | |
| - accuracy | |
| library_name: transformers | |
| pipeline_tag: image-text-to-text | |
| tags: | |
| - GUI | |
| - GUI-Grounding | |
| - Vision-language | |
| - multimodal | |
| ```markdown | |
| Эта модель дообучение модели от Tencent со зрением! | |
| ``` | |