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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arashkermani/tiny-random-MiniCPM-o-2_6", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from arashkermani/tiny-random-MiniCPM-o-2_6: direct link, hf CLI and curl.
- Browser
- Download file 127 Bytes
-
https://huggingface.co/arashkermani/tiny-random-MiniCPM-o-2_6/resolve/refs%2Fpr%2F1/processor_config.json
- Command line
-
hf download hf://arashkermani/tiny-random-MiniCPM-o-2_6@refs/pr/1/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/arashkermani/tiny-random-MiniCPM-o-2_6/resolve/refs%2Fpr%2F1/processor_config.json
127 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_minicpmo.MiniCPMOProcessor" | |
| }, | |
| "processor_class": "MiniCPMOProcessor" | |
| } | |