Any-to-Any
Transformers
ONNX
Safetensors
minicpmo
feature-extraction
minicpm-o
minicpm-v
multimodal
full-duplex
custom_code
Instructions to use openbmb/MiniCPM-o-4_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-o-4_5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-4_5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/Skiing.mp4 from openbmb/MiniCPM-o-4_5: direct link, hf CLI and curl.
- Browser
- Download file 8.53 MB
-
https://huggingface.co/openbmb/MiniCPM-o-4_5/resolve/main/assets/Skiing.mp4
- Command line
-
hf download hf://openbmb/MiniCPM-o-4_5/assets/Skiing.mp4
-
curl -L -o Skiing.mp4 https://huggingface.co/openbmb/MiniCPM-o-4_5/resolve/main/assets/Skiing.mp4
8.53 MB
- Xet hash:
- 1eb58891503803eb93fc09fdb81078de2928023b50ff69569b60acf5f4f5d6b4
- Size of remote file:
- 8.53 MB
- SHA256:
- 479ace116d6ac92487ad90f415b3ef817cd019bba4521043ef0d5faaa1a8415d
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