| | --- |
| | library_name: transformers |
| | tags: |
| | - minicpm-o |
| | - tiny-random |
| | - openvino |
| | - optimum-intel |
| | --- |
| | |
| | # Tiny Random MiniCPM-o-2.6 |
| |
|
| | This is a tiny, randomly initialized version of the **MiniCPM-o-2.6** model, designed specifically for CI/CD testing and integration validation in `optimum-intel`. |
| |
|
| | ### Model Details |
| | - **Weight Size:** 5.47 MB |
| | - **Task:** image-text-to-text (Visual Causal LM) |
| | - **Use Case:** This model is intended for testing OpenVINO export and inference pipelines without the overhead of the full-scale model weights. |
| |
|
| | ### How to use |
| | ```python |
| | from transformers import AutoModelForCausalLM, AutoTokenizer |
| | |
| | model_id = "umaimaparveennineteen/tiny-random-MiniCPM-o-2_6" |
| | model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True) |
