Instructions to use inclusionAI/Ming-Lite-Omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/Ming-Lite-Omni with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("inclusionAI/Ming-Lite-Omni", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- b5b4cec0a2a79930a5515cdff37ed0835c37ca4607409745ffdb30a9b6937e59
- Size of remote file:
- 293 kB
- SHA256:
- fcf51f8771e4892035bb83a4b12f29dad87b916af8e5c050b68b3c662fbf3049
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