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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-4_5", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
TTS cutoff issue
2
#17 opened 2 months ago
by
mavaxel
good
#15 opened 3 months ago
by
vandetta23
Seems like `chat(stream=True)` is broken — requires `do_sample=True` + `num_beams=1`, then crashes with `AttributeError: 'dict' object has no attribute 'sequences'`
3
#13 opened 3 months ago
by
Volotat
my discussion
1
#10 opened 4 months ago
by
0xwumade
inquery for code to evaluate on LiveCC
1
#4 opened 4 months ago
by
LeeLi4704
The effect is quite good
👍 3
4
#3 opened 4 months ago
by
JiaaiJ