Instructions to use codewizardUV/Llama-3-8B-Instruct-json_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewizardUV/Llama-3-8B-Instruct-json_data with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codewizardUV/Llama-3-8B-Instruct-json_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c83b450f09bc5ae7f0d23905b33b22e3a0c9ab71f62c43d688df26cc75485c11
- Size of remote file:
- 3.35 GB
- SHA256:
- f4975665fff2f2a1f5cd6102b63f440c247a3657d7acec2288ea96750329b4ab
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