Image-to-Text
Transformers
Safetensors
minicpmo
feature-extraction
vision
multimodal
tiny-model
minicpm
custom_code
Instructions to use M-Ziyo/tiny-random-MiniCPM-o-2_6-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M-Ziyo/tiny-random-MiniCPM-o-2_6-mini with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="M-Ziyo/tiny-random-MiniCPM-o-2_6-mini", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("M-Ziyo/tiny-random-MiniCPM-o-2_6-mini", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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