Instructions to use ayesha149/Rarni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ayesha149/Rarni with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("ayesha149/Rarni", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceFW/fineweb-2 | |
| language: | |
| - aa | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - meta-llama/Llama-3.3-70B-Instruct | |
| new_version: meta-llama/Llama-3.3-70B-Instruct | |
| pipeline_tag: text-generation | |
| library_name: adapter-transformers | |
| tags: | |
| - chemistry | |