Instructions to use AhmedSSoliman/Mistral-Instruct-SQL-Generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AhmedSSoliman/Mistral-Instruct-SQL-Generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "AhmedSSoliman/Mistral-Instruct-SQL-Generation") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from AhmedSSoliman/Mistral-Instruct-SQL-Generation: direct link, hf CLI and curl.
- Browser
- Download file 109 MB
-
https://huggingface.co/AhmedSSoliman/Mistral-Instruct-SQL-Generation/resolve/main/adapter_model.bin
- Command line
-
hf download hf://AhmedSSoliman/Mistral-Instruct-SQL-Generation/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/AhmedSSoliman/Mistral-Instruct-SQL-Generation/resolve/main/adapter_model.bin
109 MB
- Xet hash:
- 0c8f640500b998e392f054b5c28c9a2165db646938b692da8f70bbb456032ac6
- Size of remote file:
- 109 MB
- SHA256:
- ee5310df94c54aee8146b7bd28eb1502985f0c4d38d6bbda715b3e7c64d1f444
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