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("<base-model-id>") model.load_adapter("SudhanvaD/FinTrack-Stock-LLM", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download backend/__pycache__/server.cpython-311.pyc from SudhanvaD/FinTrack-Stock-LLM: direct link, hf CLI and curl.
- Browser
- Download file 1.59 kB
-
https://huggingface.co/SudhanvaD/FinTrack-Stock-LLM/resolve/main/backend/__pycache__/server.cpython-311.pyc
- Command line
-
hf download hf://SudhanvaD/FinTrack-Stock-LLM/backend/__pycache__/server.cpython-311.pyc
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curl -L -o server.cpython-311.pyc https://huggingface.co/SudhanvaD/FinTrack-Stock-LLM/resolve/main/backend/__pycache__/server.cpython-311.pyc
1.59 kB
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