Instructions to use lgilz/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 lgilz/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, "lgilz/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 241ea52aec067ea945b282701d9e04f093f723cac8f0d5f1e537a83a435af858
- Size of remote file:
- 4.79 kB
- SHA256:
- b1b948736577c0e59f2641adc4d7d1fe165ded049284a4a236e8fbe464709023
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