Instructions to use SudhanvaD/FinTrack-Stock-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use SudhanvaD/FinTrack-Stock-LLM with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("SudhanvaD/FinTrack-Stock-LLM", set_active=True) - Notebooks
- Google Colab
- Kaggle
| .spinner { | |
| width: 32px; | |
| height: 32px; | |
| border: 4px solid #f3f3f3; | |
| border-top: 4px solid #38d9a9; | |
| border-radius: 50%; | |
| animation: spin 1s linear infinite; | |
| margin: 2rem auto; | |
| } | |
| @keyframes spin { | |
| 0% { transform: rotate(0deg); } | |
| 100% { transform: rotate(360deg); } | |
| } |