Instructions to use lisali126/Hetero-MoE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lisali126/Hetero-MoE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lisali126/Hetero-MoE") model = AutoModelForSeq2SeqLM.from_pretrained("lisali126/Hetero-MoE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 311dbd02f2f600c9758cce179b04b91739d9e7ae7de7deb43531cb869e04f774
- Size of remote file:
- 1.24 GB
- SHA256:
- 6fe774e6257e4fa97d0560629fd3aa791acf3e7fc27f6b573979be7a1cd4e18d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.