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:
- 5a16891bb51bd32a3bbc02337d9354f1f13e502d41718fc4b184cca6bb8ddfc8
- Size of remote file:
- 3.76 MB
- SHA256:
- c91ebd65c3f39ed36a031a9eb5722a54facafece3b60bcc554b6e02d624cadc4
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