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
Instructions to use Compumacy/mini_cpm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Compumacy/mini_cpm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Compumacy/mini_cpm", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc013c77d97872386120f731765493d30f175c038037fdc81002e2f19efe9b4e
- Size of remote file:
- 54.4 MB
- SHA256:
- 09a670eda1c08b740013679c7a90ebb7f1a97646ea7673069a6838e6b51d6c58
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