Instructions to use vhrvmk/code-llama-7b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vhrvmk/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "vhrvmk/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fc8ea7aa44092898e3e386e5595b95bbb39fe1a4f02af5e5751940573d22b1c
- Size of remote file:
- 4.73 kB
- SHA256:
- cea1c706324dccd49fa34749343ba1d7d6a79dd6ff0b77760a65404365f09d26
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