Instructions to use carlofisicaro/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 carlofisicaro/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, "carlofisicaro/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from carlofisicaro/code-llama-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/carlofisicaro/code-llama-7b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://carlofisicaro/code-llama-7b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/carlofisicaro/code-llama-7b-text-to-sql/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 20e3368d6d92471cb1edbd9a96e244fc33c58dbe770486c24865ba3ef0933862
- Size of remote file:
- 5.56 kB
- SHA256:
- 62abc07dff7dc1c5a05dd986032c524eafc9fcf126e8ad3ed574e7d464c11cb7
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