How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="FriendliAI/MiniCPM-Llama3-V-2_5", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("FriendliAI/MiniCPM-Llama3-V-2_5", trust_remote_code=True, dtype="auto")
Quick Links

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openbmb/MiniCPM-Llama3-V-2_5

Differences

  • Added missing eos_token (<|eot_id|>) to config.json

License

Refer to the license of the original model card.

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Dataset used to train FriendliAI/MiniCPM-Llama3-V-2_5