LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Paper โข 2306.17107 โข Published โข 12
How to use SALT-NLP/LLaVAR_delta with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="SALT-NLP/LLaVAR_delta") # Load model directly
from transformers import AutoProcessor, AutoModelForCausalLM
processor = AutoProcessor.from_pretrained("SALT-NLP/LLaVAR_delta")
model = AutoModelForCausalLM.from_pretrained("SALT-NLP/LLaVAR_delta")How to use SALT-NLP/LLaVAR_delta with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SALT-NLP/LLaVAR_delta"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "SALT-NLP/LLaVAR_delta",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/SALT-NLP/LLaVAR_delta
How to use SALT-NLP/LLaVAR_delta with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "SALT-NLP/LLaVAR_delta" \
--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": "SALT-NLP/LLaVAR_delta",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "SALT-NLP/LLaVAR_delta" \
--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": "SALT-NLP/LLaVAR_delta",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use SALT-NLP/LLaVAR_delta with Docker Model Runner:
docker model run hf.co/SALT-NLP/LLaVAR_delta
NOTE: This "delta model" cannot be used directly. It should be merged with the LLaMA-13B checkpoint.
For more information, please refer to LLaVAR project page, Github repo, and paper.