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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library name
#2
by nielsr HF Staff - opened
This PR improves the model card, by adding the appropriate pipeline_tag for your model, ensuring people can find your model at https://huggingface.co/models?pipeline_tag=any-to-any&sort=trending.
It also ensures the "how to use" button is displayed.
Your modification has been successfully merged, we appreciate your contribution.
qingpei changed pull request status to merged