Instructions to use 2xionger/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 2xionger/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, "2xionger/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 572fcac6dcb910204b8e422b59c4bcb5c29bc23c111fc219c8b8e21f2e06c0b0
- Size of remote file:
- 5.24 kB
- SHA256:
- 92a71dce4cc0980ba8ece840834d1af25c83c7e9d98d135cc6ba1271a5b25886
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