Instructions to use Akil15/mistral_SQL_v.0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Akil15/mistral_SQL_v.0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "Akil15/mistral_SQL_v.0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4811c6794318efff13941cd3fbb8e19582a2bb70fdb620dedb7bbb92ad845988
- Size of remote file:
- 340 MB
- SHA256:
- 1166f16f3a7ee05aaa182df525523a4f23340b0ae78ea26c726b4ccee8b4cef4
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