Instructions to use Liu-Xiang/sql-code-llama-alan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Liu-Xiang/sql-code-llama-alan 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, "Liu-Xiang/sql-code-llama-alan") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Liu-Xiang/sql-code-llama-alan: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Liu-Xiang/sql-code-llama-alan/resolve/main/training_args.bin
- Command line
-
hf download hf://Liu-Xiang/sql-code-llama-alan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Liu-Xiang/sql-code-llama-alan/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- ec0fb6aec5585dcc670fa19ca03e2a972c362f325dcfe27c9ac11f11b990ca60
- Size of remote file:
- 5.24 kB
- SHA256:
- 79f894a17a106d7602219f59ab4554d9a91c66543273248e63c5d9ffbaf4a572
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