Instructions to use bharadwajvyadavalli/mistral-sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bharadwajvyadavalli/mistral-sql-lora 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, "bharadwajvyadavalli/mistral-sql-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61ed18078f3221cce09a1ee17bff5cddfad61ed518450073a06a2a853ab782ad
- Size of remote file:
- 27.3 MB
- SHA256:
- 9f4b51d1208e83b9c1ed16b7c4da75566f0d8e262e3b351649c58647ebf11538
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