Image-Text-to-Text
Transformers
PyTorch
Safetensors
florence2
GUI
VLM
Agent
GUI-Grounding
custom_code
Instructions to use HongxinLi/GoClick-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HongxinLi/GoClick-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="HongxinLi/GoClick-Large", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("HongxinLi/GoClick-Large", trust_remote_code=True) model = AutoModelForImageTextToText.from_pretrained("HongxinLi/GoClick-Large", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use HongxinLi/GoClick-Large with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "HongxinLi/GoClick-Large" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HongxinLi/GoClick-Large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/HongxinLi/GoClick-Large
- SGLang
How to use HongxinLi/GoClick-Large 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 "HongxinLi/GoClick-Large" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HongxinLi/GoClick-Large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "HongxinLi/GoClick-Large" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HongxinLi/GoClick-Large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use HongxinLi/GoClick-Large with Docker Model Runner:
docker model run hf.co/HongxinLi/GoClick-Large
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README.md
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Prerequisites
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pip install transformers==4.45.0
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Note: The version of Transformers should not be too high. Adjust the version if model loading fails.
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Prerequisites
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pip install transformers==4.45.0 timm
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```
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Note: The version of Transformers should not be too high. Adjust the version if model loading fails.
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