Any-to-Any
Transformers
Safetensors
English
Chinese
minicpmo
feature-extraction
multimodal
vision
audio
tts
voice-cloning
bitsandbytes
8-bit precision
quantized
custom_code
Instructions to use ericleigh007/MiniCPM-o-4_5-BNB-Int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericleigh007/MiniCPM-o-4_5-BNB-Int8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ericleigh007/MiniCPM-o-4_5-BNB-Int8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 376c2a2db7c385b095d9d9eef509cec27898e9d690a768fe75d162e69d0f18a7
- Size of remote file:
- 11.4 MB
- SHA256:
- 6d55eb34389b8c87403763cc1d80447d91c85c7cd39cd5e3c0dc2d49edad989d
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