README.md

---
base_model: openbmb/MiniCPM-Llama3-V-2_5
datasets:
- OpenGVLab/ShareGPT-4o
---

```
import torch
from PIL import Image
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained('macadeliccc/ShareGPT-4o-MiniCPM-Llama-3-V-2_5', trust_remote_code=True, torch_dtype=torch.float16)
model = model.to(device='cuda')

tokenizer = AutoTokenizer.from_pretrained('macadeliccc/ShareGPT-4o-MiniCPM-Llama-3-V-2_5', trust_remote_code=True)
model.eval()

image = Image.open('xx.png').convert('RGB')
question = 'What is in the image?'
msgs = [{'role': 'user', 'content': question}]

res = model.chat(
    image=image,
    msgs=msgs,
    tokenizer=tokenizer,
    sampling=True,
    temperature=0.7,
    stream=True
)

generated_text = ""
for new_text in res:
    generated_text += new_text
    print(new_text, flush=True, end='')

```