Any-to-Any
Transformers
PyTorch
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 arashkermani/tiny-random-MiniCPM-o-2_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arashkermani/tiny-random-MiniCPM-o-2_6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arashkermani/tiny-random-MiniCPM-o-2_6", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca18c90f8c14781ba0960551fc75b7e4451a66efdcfd4a712285544f2df1d3ea
- Size of remote file:
- 11.4 MB
- SHA256:
- e43057e8380937b8edf2c9ea6ad34a3875d89c390e97024dfac307f3a4a11321
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