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:
- 05aa401dc0fd49468a87a6ec1834ee6d04a0eee7e7751ad090f936e82ef9cc97
- Size of remote file:
- 68.9 kB
- SHA256:
- 22eb791c58d8cd6e2bf354a2a4a31a758053990598f055e1d63a977596985080
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