Instructions to use unayuna/Llama-VARCO-8b-news2stock-analyser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unayuna/Llama-VARCO-8b-news2stock-analyser with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unayuna/Llama-VARCO-8b-news2stock-analyser", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ced565fa6f534a3aa8ced2c9897df93a165e6e7b04904f1a7cd70f11a471017
- Size of remote file:
- 17.2 MB
- SHA256:
- c614c9273fee4f442ed8a7c46cbd5623ecb3b5fc5895d37546e9c3fd031b68d9
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