Instructions to use bchang/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 bchang/code_llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "bchang/code_llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 872bd7ee3886ccfb4d4f4c040c5a4f97bdef39ef521167af73562fe1c9bba0ca
- Size of remote file:
- 4.92 kB
- SHA256:
- e3c7844623a7d5a97914f66c446a3421bc32cb6a69226ceb0929b6af5e880f88
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