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 4.28 kB
-
https://huggingface.co/Liu-Xiang/sql-code-llama/resolve/67c24ded5e17c404faa8aaf5efe28dcafe89526d/training_args.bin
- Command line
-
hf download hf://Liu-Xiang/sql-code-llama@67c24ded5e17c404faa8aaf5efe28dcafe89526d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Liu-Xiang/sql-code-llama/resolve/67c24ded5e17c404faa8aaf5efe28dcafe89526d/training_args.bin
4.28 kB
- Xet hash:
- 98e08be1a5666f563c6f315655c88ea1c00f78391641d97cb30fa00813e3b5b1
- Size of remote file:
- 4.28 kB
- SHA256:
- 8aac2302a2686e109d938cfd13efa613ad556288714f5e5a4c318eda13fdf214
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