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
```

📋 Documentation Enhancement Suggestion

#45

by CroviaTrust - opened Feb 16

Discussion

CroviaTrust

Feb 16

📋 Documentation Enhancement Suggestion

This observation was generated by Crovia — the AI transparency observation layer.

Crovia does not accuse or judge. It observes publicly available information and suggests improvements.

📊 Quick Stats

Metric	Value
Source	huggingface
Downloads	466049
Likes	431
Last Updated	2026-02-13

💻 Ready-to-Use Code

from transformers import AutoModel, AutoTokenizer

model_id = "Salesforce/blip2-opt-2.7b"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModel.from_pretrained(model_id)

# Example usage
inputs = tokenizer("Hello, world!", return_tensors="pt")
outputs = model(**inputs)

📚 Citation

If you use this model, please cite:

@misc {Salesforce_blip2_opt_2_7b_2026,
  author = {Salesforce},
  title = {Salesforce/blip2-opt-2.7b},
  year = {2026},
  url = {https://huggingface.co/Salesforce/blip2-opt-2.7b},
  note = {Accessed via CROVIA transparency registry}
}

⚖️ EU AI Act Compliance Checklist

Training data disclosed
License clearly stated
Intended use documented
Model limitations documented
Evaluation metrics provided
Bias/fairness analysis

🔍 Training Data Transparency

Training Data Status: ⚠️ Partial

A training section exists but specific datasets are not enumerated.

Recommendation: Add explicit dataset names and versions for full transparency.

Enhancement generated by CROVIA · Package ID: 191cefb90e13
Generated at: 2026-02-13T17:06:46.167237Z

This suggestion was generated by Crovia — the AI transparency observation layer.

Crovia does not accuse or judge. It observes publicly available information and suggests documentation improvements.

If this suggestion is helpful, consider adding the recommended sections to your model card.
If not applicable, feel free to close this discussion.

Learn more: croviatrust.com · What is Crovia?

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