Instructions to use wayne003/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 wayne003/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, "wayne003/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wayne003/code-llama-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/wayne003/code-llama-7b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://wayne003/code-llama-7b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wayne003/code-llama-7b-text-to-sql/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 3f31372d061c26296b7200cc78f5f6a66fe7d69ce521c6ad4be08b4667c6bf4e
- Size of remote file:
- 4.73 kB
- SHA256:
- cd2efa98721746951c2a5b7ae35ce8c680b80c549f283aee429ce56c00fb35f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.