Instructions to use lamlvchen/Llama-3-8B-Python-Expert-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lamlvchen/Llama-3-8B-Python-Expert-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lamlvchen/Llama-3-8B-Python-Expert-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e74af51b807f099ab068212322f53b9d5252a48dd48f5e3ed4776cca38cc1b3
- Size of remote file:
- 17.2 MB
- SHA256:
- 3fcbc9fb949303bd5ec22abbee08f443828575e9d7f706fd54221a7e3a20fd43
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