Instructions to use umaimaparveennineteen/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 umaimaparveennineteen/tiny-random-MiniCPM-o-2_6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("umaimaparveennineteen/tiny-random-MiniCPM-o-2_6", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "umaimaparveennineteen/tiny-random-MiniCPM-o-2_6"
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
- Downloads last month
- 1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support