Instructions to use kbalde/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 kbalde/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, "kbalde/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kbalde/code-llama-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/kbalde/code-llama-7b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://kbalde/code-llama-7b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kbalde/code-llama-7b-text-to-sql/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 559b04d4c47cf56f48fe73f94863297dd0c01c9a1f470d81412ba1641f6b188f
- Size of remote file:
- 4.73 kB
- SHA256:
- b1c3b7d0a3f80d530f5196879b7cd995ec4a081d1b354881dc38843b55e4c715
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