Instructions to use pmmcbride/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 pmmcbride/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, "pmmcbride/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pmmcbride/code-llama-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/pmmcbride/code-llama-7b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://pmmcbride/code-llama-7b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pmmcbride/code-llama-7b-text-to-sql/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- a130614f2f27c2e7a7410f7f1868f81d6f8e1c1370622fe5856e88185510665b
- Size of remote file:
- 4.92 kB
- SHA256:
- e9fae6900c4bc9b8bf0ec88276c7fc865238b5a76f545e41e08a92487267bcb0
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