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:
- 8b44330623ba623985fe6aef277164f8b0901f451b39c68a3f286936f40f116e
- Size of remote file:
- 17.2 MB
- SHA256:
- c614c9273fee4f442ed8a7c46cbd5623ecb3b5fc5895d37546e9c3fd031b68d9
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