Instructions to use HongxinLi/GoClick-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HongxinLi/GoClick-Base with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="HongxinLi/GoClick-Base", trust_remote_code=True)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("HongxinLi/GoClick-Base", trust_remote_code=True)
model = AutoModelForImageTextToText.from_pretrained("HongxinLi/GoClick-Base", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use HongxinLi/GoClick-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HongxinLi/GoClick-Base"
# 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-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/HongxinLi/GoClick-Base

SGLang

How to use HongxinLi/GoClick-Base 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-Base" \
    --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-Base",
		"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-Base" \
        --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-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use HongxinLi/GoClick-Base with Docker Model Runner:
```
docker model run hf.co/HongxinLi/GoClick-Base
```

GoClick-Base / model.safetensors

HongxinLi

Upload folder using huggingface_hub

890ad1b verified 13 days ago

download

history blame contribute delete

1.08 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: e9989819f4a287507e6cf2add74d3f3131118775600f4b6a64924cc276a4aa62
Size of remote file:: 1.08 GB
SHA256:: 8c122bc1ddbf188b1fe00dc1be2c3a4a92b93ee022570f790fcd8e94aab13907

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.