Instructions to use binhduong2310/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 binhduong2310/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "binhduong2310/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from binhduong2310/code-llama-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/binhduong2310/code-llama-7b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://binhduong2310/code-llama-7b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/binhduong2310/code-llama-7b-text-to-sql/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 7d10c033adb821a322085bb49fbff46624b86b90fcb513ae3b109b30bc347508
- Size of remote file:
- 5.11 kB
- SHA256:
- 8870fc13535b1a025682721cde91d74e722f185e7c89bb1f0fa6ce4eda77d276
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.