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:
- 06a27d4b2f8a3ce8e793b2b3c3b1acb18690a84e392f64e06692d05ae1b51382
- Size of remote file:
- 8.05 kB
- SHA256:
- 6704773a94f90480047a21020571632cd0225550e7787bc9c544ff08af19f444
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