Instructions to use jjmy0913/Llama-VARCO-8b-news2stock-analyser-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jjmy0913/Llama-VARCO-8b-news2stock-analyser-ko with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jjmy0913/Llama-VARCO-8b-news2stock-analyser-ko", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b747102eac6889804c03ecd68ab68e1396259d6c59284934b352f9a0972b2f51
- Size of remote file:
- 13.6 MB
- SHA256:
- 6d883bfc7b0bd5271dd8ff2aa7375e2f3ca2caba692c834ce2226dfc4f316659
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