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("fill-in-model-name") model.load_adapter("SudhanvaD/FinTrack-Stock-LLM", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8739a36cade4b461db6c18e63c01a6cfac1087d0b038639c13c273e8f14b32fa
- Size of remote file:
- 105 kB
- SHA256:
- 11c4ddbf0b38e712662678347cb98c3289eea6a3a285702d2e26c9612b5a4529
路
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