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
| .metrics-panel { | |
| background-color: #1e293b; | |
| color: #e2e8f0; | |
| border-radius: 12px; | |
| padding: 1.5rem; | |
| box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1); | |
| margin-top: 1rem; | |
| } | |
| .tab-buttons button { | |
| background-color: #334155; | |
| color: #ffffff; | |
| padding: 0.5rem 1rem; | |
| margin-right: 0.5rem; | |
| border: none; | |
| border-radius: 6px; | |
| font-weight: 500; | |
| transition: background-color 0.2s ease; | |
| } | |
| .tab-buttons .active { | |
| background-color: #38d9a9; | |
| color: #0f172a; | |
| } | |
| .tab-content { | |
| margin-top: 1rem; | |
| background-color: #0f172a; | |
| padding: 1rem; | |
| border-radius: 8px; | |
| font-family: monospace; | |
| color: #e2e8f0; | |
| } |