Instructions to use junchenfu/code-llama-3-1-8b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use junchenfu/code-llama-3-1-8b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "junchenfu/code-llama-3-1-8b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from junchenfu/code-llama-3-1-8b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/junchenfu/code-llama-3-1-8b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://junchenfu/code-llama-3-1-8b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/junchenfu/code-llama-3-1-8b-text-to-sql/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 3832f66c20930e6f61af183177de3a954da3b8682dcbab9d54b1f46fb370ca00
- Size of remote file:
- 5.5 kB
- SHA256:
- 9f564a1ee6580489f46128baea5acf5cd0a7aa2d57c42d56b7477348f73be9d6
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