Instructions to use ammaradel/PSU-LLaMA-Inference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ammaradel/PSU-LLaMA-Inference with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("ammaradel/PSU-LLaMA-Inference", set_active=True) - Notebooks
- Google Colab
- Kaggle
| metrics: | |
| - accuracy | |
| - bertscore | |
| - bleu | |
| - bleurt | |
| - brier_score | |
| - cer | |
| pipeline_tag: question-answering | |
| language: | |
| - en | |
| library_name: adapter-transformers | |
| LLaMA model fine-tuned on PSU Dataset 3 (8K lines) |