Instructions to use Fadh3m/Asentra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Fadh3m/Asentra with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Fadh3m/Asentra", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - openbmb/UltraData-Math | |
| language: | |
| - en | |
| - id | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - moonshotai/Kimi-K2.5 | |
| new_version: moonshotai/Kimi-K2.5 | |
| library_name: adapter-transformers | |
| tags: | |
| - finance | |
| - art | |
| - agent | |