Instructions to use kzipa/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 kzipa/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, "kzipa/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbd9016e1f3357d16b0b68215772faf2a22547bdfa8a63daa21d40b29b0082e3
- Size of remote file:
- 1.8 GB
- SHA256:
- eceba17849503b833132991da34c86e478a311d0f1d16330c7d4928624d21861
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