Instructions to use endseeker/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 endseeker/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "endseeker/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 671bbdcd3d77d659663de42b465360338850e70dc2ad68f8fce78197cbced627
- Size of remote file:
- 4.92 kB
- SHA256:
- c997b1a92f039195abe948f508a74f31330faae49cbe4dfdef5a3c332741c910
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