Instructions to use Lin-Chen/ShareCaptioner-Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Lin-Chen/ShareCaptioner-Video with Transformers:

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

pipe = pipeline("text-generation", model="Lin-Chen/ShareCaptioner-Video", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Lin-Chen/ShareCaptioner-Video", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Lin-Chen/ShareCaptioner-Video with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Lin-Chen/ShareCaptioner-Video"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Lin-Chen/ShareCaptioner-Video",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Lin-Chen/ShareCaptioner-Video

SGLang

How to use Lin-Chen/ShareCaptioner-Video 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 "Lin-Chen/ShareCaptioner-Video" \
    --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": "Lin-Chen/ShareCaptioner-Video",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Lin-Chen/ShareCaptioner-Video" \
        --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": "Lin-Chen/ShareCaptioner-Video",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Lin-Chen/ShareCaptioner-Video with Docker Model Runner:
```
docker model run hf.co/Lin-Chen/ShareCaptioner-Video
```

Detailed usage

by drcege - opened Jun 7, 2024

Discussion

drcege

Jun 7, 2024

Could you provide more examples demonstrating how to utilize this model in each of its four roles?

Lin-Chen

Owner Jun 12, 2024

Could you provide more examples demonstrating how to utilize this model in each of its four roles?

It's available now in our repo. Enjoy it!

Lin-Chen changed discussion status to closed Jun 12, 2024

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