Instructions to use vortexa64/Dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use vortexa64/Dd with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("vortexa64/Dd", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - microsoft/rStar-Coder | |
| language: | |
| - id | |
| metrics: | |
| - accuracy | |
| - bertscore | |
| - code_eval | |
| base_model: | |
| - openai/gpt-oss-120b | |
| pipeline_tag: text-classification | |
| library_name: adapter-transformers | |
| tags: | |
| - chemistry | |