Model Details
Full Model IDopenbmb/MiniCPM-o-4_5
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)916.6K
Likes1.5K
Last Modified8/18/2026
Author / Orgopenbmb
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("any-to-any", model="openbmb/MiniCPM-o-4_5")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformersonnxsafetensorsminicpmofeature-extractionminicpm-ominicpm-vmultimodalfull-duplexany-to-anycustom_codearxiv:2408.01800license:apache-2.0region:us
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Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: any-to-any
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⬇ Downloads916.6K
❤️ Community Likes1.5K
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.