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:
- 9673278f5d30592971069fc3c530c4aed074a8b029345e305da552258aa92ddb
- Size of remote file:
- 1.8 GB
- SHA256:
- 758ef07b546d53379fc046537cb541d92a1edf2f677bd331e69891440665478a
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