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 vocab.json from openbmb/MiniCPM-o-4_5: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/openbmb/MiniCPM-o-4_5/resolve/main/vocab.json
- Command line
-
hf download hf://openbmb/MiniCPM-o-4_5/vocab.json
-
curl -L -o vocab.json https://huggingface.co/openbmb/MiniCPM-o-4_5/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.