Instructions to use Salesforce/instructblip-vicuna-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Salesforce/instructblip-vicuna-7b with Transformers:

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

pipe = pipeline("image-text-to-text", model="Salesforce/instructblip-vicuna-7b")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("Salesforce/instructblip-vicuna-7b")
model = AutoModelForImageTextToText.from_pretrained("Salesforce/instructblip-vicuna-7b")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Salesforce/instructblip-vicuna-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Salesforce/instructblip-vicuna-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/instructblip-vicuna-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Salesforce/instructblip-vicuna-7b

SGLang

How to use Salesforce/instructblip-vicuna-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/instructblip-vicuna-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/instructblip-vicuna-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/instructblip-vicuna-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/instructblip-vicuna-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Salesforce/instructblip-vicuna-7b with Docker Model Runner:
```
docker model run hf.co/Salesforce/instructblip-vicuna-7b
```

OSError: Salesforce/instructblip-vicuna-7b does not appear to have a file named config.json. Checkout 'https://huggingface.co/Salesforce/instructblip-vicuna-7b/tree/None' for available files.

#15

by gjwsjtuer - opened Nov 17, 2024

Discussion

gjwsjtuer

Nov 17, 2024

I followed the instructions provided on the model card, but I encountered an error when trying to load the model. Here is the code I used:

model = InstructBlipForConditionalGeneration.from_pretrained("Salesforce/instructblip-vicuna-7b")
processor = InstructBlipProcessor.from_pretrained("Salesforce/instructblip-vicuna-7b")
However, I received the following error message:

OSError: Salesforce/instructblip-vicuna-7b does not appear to have a file named config.json. Checkout 'https://huggingface.co/Salesforce/instructblip-vicuna-7b/tree/None' for available files.
Has anyone encountered a similar issue or knows how to resolve it? Any help would be greatly appreciated!

help me please!!!!

159W

Dec 30, 2024

需要下载qformer_tokenizer文件夹中的内容

NaForAll

Jan 18, 2025

check your network connection

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