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:
- 59c5bc06734eb81472cab925c406f2a827789bf8b7512a2307701083f19c062f
- Size of remote file:
- 1.87 GB
- SHA256:
- f958749b1f7a78aa4e2714c4c75da79e7f963d88a1ab12f8ad0f0455e160d533
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