Instructions to use Dev2410/SQL_llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dev2410/SQL_llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Dev2410/SQL_llama") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Dev2410/SQL_llama: direct link, hf CLI and curl.
- Browser
- Download file 92.3 MB
-
https://huggingface.co/Dev2410/SQL_llama/resolve/b6959c1981d20c1cc0e7c104fa8fd3fee0be4e49/adapter_model.bin
- Command line
-
hf download hf://Dev2410/SQL_llama@b6959c1981d20c1cc0e7c104fa8fd3fee0be4e49/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Dev2410/SQL_llama/resolve/b6959c1981d20c1cc0e7c104fa8fd3fee0be4e49/adapter_model.bin
92.3 MB
- Xet hash:
- 799ba86d084ef4926de5cb56650ab21c948820f146d9637b6a44382bce8adcb1
- Size of remote file:
- 92.3 MB
- SHA256:
- 187698b433f6fbc1e063baa1beb86b74303be9872802b6d4aa041b59489e5856
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