Instructions to use Lil-R/UMA_LLM_Engine_V2_Improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lil-R/UMA_LLM_Engine_V2_Improved with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lil-R/UMA_LLM_Engine_V2_Improved", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58d91dbb9632eed9a90883ece72b14882281c1157421a79538b8b14e603b4945
- Size of remote file:
- 332 MB
- SHA256:
- 7dcd4c36bf203fc1d60c405f772040587022d9dac84d241d80636a2f448ee3fe
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