Instructions to use mesbahuddin1989/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 mesbahuddin1989/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, "mesbahuddin1989/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mesbahuddin1989/code-llama-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/mesbahuddin1989/code-llama-7b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://mesbahuddin1989/code-llama-7b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mesbahuddin1989/code-llama-7b-text-to-sql/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- e613ea6860e0389c2256797255712ac6d4ae2a258554288299d00d310a661601
- Size of remote file:
- 4.73 kB
- SHA256:
- e3a8155a07cac7f69ea2df8dda81f38ff051e4da57e282ef42d438329d8cd20c
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