Instructions to use isaaclee/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 isaaclee/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, "isaaclee/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isaaclee/code-llama-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/isaaclee/code-llama-7b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://isaaclee/code-llama-7b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isaaclee/code-llama-7b-text-to-sql/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 569d1a9bf539066811bae5a5c18fcb444a43fa69aceedcc062a92e47d4e0d0c7
- Size of remote file:
- 4.73 kB
- SHA256:
- c3346702d6efc70b10bc41a8cc048e44c4cd5f73df5eba60ac26cac7fe7559c5
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