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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1eb58891503803eb93fc09fdb81078de2928023b50ff69569b60acf5f4f5d6b4
- Size of remote file:
- 8.53 MB
- SHA256:
- 479ace116d6ac92487ad90f415b3ef817cd019bba4521043ef0d5faaa1a8415d
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