Instructions to use virtuous7373/Mira-Conversations-db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use virtuous7373/Mira-Conversations-db with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("virtuous7373/Mira-Conversations-db", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| base_model: [] | |
| library_name: transformers | |
| tags: | |
| - Lambent | |
| A neater way to store conversation results files for various merges. It's easier to look back through the files to see which ones showed promise one way or another. | |
| As always, check out the person who does all the actual work: https://huggingface.co/Lambent/ | |
| [ Mira-CustomMerge-Test Convo+Config](https://huggingface.co/virtuous7373/Mira-Conversations-db/blob/main/Mira-CustomMerge-Test%20Convo%2BConfig). | |
| [ Mira-Vza Convo+Config](https://huggingface.co/virtuous7373/Mira-Conversations-db/blob/main/Mira-Vza%20Convo%2BConfig). | |