Instructions to use Liu-Xiang/sql-code-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Liu-Xiang/sql-code-llama 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, "Liu-Xiang/sql-code-llama") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Liu-Xiang/sql-code-llama: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Liu-Xiang/sql-code-llama/resolve/main/training_args.bin
- Command line
-
hf download hf://Liu-Xiang/sql-code-llama/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Liu-Xiang/sql-code-llama/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 762db6d12c26a1816c13c388a91aaa39680c030a9861cf3ccd06651d642ef82b
- Size of remote file:
- 5.18 kB
- SHA256:
- f60447b2b0b8c19a200ef0ccae0097ff2122d9642c62eb7bb85deb060fc5452c
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