Model Details
Full Model IDopenbmb/MiniCPM-o-2_6
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)130.3K
Likes1.3K
Last Modified10/5/2025
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-2_6")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsminicpmofeature-extractionminicpm-oomnivisionocrmulti-imagevideocustom_codeaudiospeechvoice cloninglive Streamingrealtime speech conversationasrttsany-to-anymultilingualdataset:openbmb/RLAIF-V-Datasetarxiv:2405.17220arxiv:2408.01800license:apache-2.0region:us
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Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: any-to-any
This model is designed for the any-to-any task. Explore more models for this use case.
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⬇ Downloads130.3K
❤️ Community Likes1.3K
🛠️ 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.