Instructions to use Salesforce/blip2-opt-2.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Salesforce/blip2-opt-2.7b with Transformers:

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

pipe = pipeline("image-text-to-text", model="Salesforce/blip2-opt-2.7b")

# Load model directly
from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering

processor = AutoProcessor.from_pretrained("Salesforce/blip2-opt-2.7b")
model = AutoModelForVisualQuestionAnswering.from_pretrained("Salesforce/blip2-opt-2.7b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Salesforce/blip2-opt-2.7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Salesforce/blip2-opt-2.7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Salesforce/blip2-opt-2.7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Salesforce/blip2-opt-2.7b

SGLang

How to use Salesforce/blip2-opt-2.7b 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 "Salesforce/blip2-opt-2.7b" \
    --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": "Salesforce/blip2-opt-2.7b",
		"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 "Salesforce/blip2-opt-2.7b" \
        --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": "Salesforce/blip2-opt-2.7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Salesforce/blip2-opt-2.7b with Docker Model Runner:
```
docker model run hf.co/Salesforce/blip2-opt-2.7b
```

Is there a way to use ViT-L/14 from CLIP?

#20

by RfKnowledge - opened Dec 9, 2023

Discussion

RfKnowledge

Dec 9, 2023

Hi!

In the paper you also have used ViT-L/14 with both OPT 2.7B and FlanT5 XL but I can't seem to find the checkpoints for that.

nielsr

Dec 10, 2023

Hi,

Could you link the original checkpoints in the LAVIS repo? Then we can transfer them to the Hugging Face format.

UncleFish

Salesforce AI Research org Mar 5, 2024

•

edited Mar 6, 2024

Hi, how can I change the checkpoints in the LAVIS repo to the hugging face format? Thanks!
update: Find this file, will try this first.

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