Any-to-Any
Transformers
Safetensors
multilingual
minicpmo
feature-extraction
minicpm-o
omni
vision
ocr
multi-image
video
custom_code
audio
speech
voice cloning
live Streaming
realtime speech conversation
asr
tts
4-bit precision
gptq
Instructions to use openbmb/MiniCPM-o-2_6-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-o-2_6-int4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-2_6-int4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d7a769515e343063252cc5366ec8cd007ef45b177bdc6d5464f139cee7aca5a
- Size of remote file:
- 7.57 GB
- SHA256:
- 5fa6377ca7a817502eecd7bfa9f4342d61ea47263236acbe4f236e94362eba84
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