Instructions to use amitdev2024/Amit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use amitdev2024/Amit with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("amitdev2024/Amit", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license: llama3 | |
| datasets: | |
| - OpenGVLab/ShareGPT-4o | |
| - HuggingFaceFW/fineweb | |
| language: | |
| - ab | |
| metrics: | |
| - character | |
| - charcut_mt | |
| library_name: adapter-transformers | |
| pipeline_tag: text-generation | |
| tags: | |
| - code | |