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instructblip-flan-t5-xl

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Hi,

Basically you can try it out by doing pip install --upgrade git+https://github.com/NielsRogge/transformers.git@add_instruct_blip

and then do:

from transformers import InstructBlipProcessor, InstructBlipForConditionalGeneration
import torch
from PIL import Image
import requests

model = InstructBlipForConditionalGeneration.from_pretrained("nielsr/instructblip-flan-t5-xl")
processor = InstructBlipProcessor.from_pretrained("nielsr/instructblip-flan-t5-xl")

device = "cuda" if torch.cuda.is_available() else "cpu"
model.to(device)

url = "https://raw.githubusercontent.com/salesforce/LAVIS/main/docs/_static/Confusing-Pictures.jpg"
image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
prompt = "What is unusual about this image?"
inputs = processor(images=image, text=prompt, return_tensors="pt")

outputs = model.generate(
        **inputs,
        do_sample=False,
        num_beams=5,
        max_length=256,
        min_length=1,
        top_p=0.9,
        repetition_penalty=1.5,
        length_penalty=1.0,
        temperature=1,
)
generated_text = processor.batch_decode(outputs, skip_special_tokens=True)[0].strip()
print(generated_text)

Hi,
I run this code and get the warning: Some weights of the model checkpoint were not used when initializing Blip2ForConditionalGeneration, and it lists some parameters in QFormer.

Is this normal? thanks!

Hey,

Even after doing doing pip install --upgrade git+https://github.com/NielsRogge/transformers.git@add_instruct_blip and running "from transformers import InstructBlipProcessor" I'm still getting cannot import name 'InstructBlipProcessor' from 'transformers". How do I fix it?

Since this is merged now, I'll closed this one.