Instructions to use Master2032/AL1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Master2032/AL1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Master2032/AL1", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| - LDJnr/Capybara | |
| - GAIR/MathPile | |
| - OpenAssistant/oasst2 | |
| - wikimedia/wikipedia | |
| - andersonbcdefg/synthetic_retrieval_tasks | |
| - ikala/tmmluplus | |
| - Intel/orca_dpo_pairs | |
| - unalignment/toxic-dpo-v0.1 | |
| - HuggingFaceH4/ultrachat_200k | |
| metrics: | |
| - accuracy | |
| library_name: adapter-transformers | |