Instructions to use JunSeok98/Llama-VARCO-8b-news2stock-analyzer-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunSeok98/Llama-VARCO-8b-news2stock-analyzer-4bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JunSeok98/Llama-VARCO-8b-news2stock-analyzer-4bit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bc734b93938d98855e211aa3176facecc44cfb5262a8549446ec80a83a0db20
- Size of remote file:
- 6.83 MB
- SHA256:
- 9a03963eeedff0a0b4c5f625cbbf4e27def6d2dcc799b2f0f7a4902058184865
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