Instructions to use dmedhi/text-2-SQL-training-1730395036 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dmedhi/text-2-SQL-training-1730395036 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "dmedhi/text-2-SQL-training-1730395036") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd3b3c479c70cb1806c965dcb72b2b727b49d8a0f7fe01795643e65c101d2614
- Size of remote file:
- 71.3 MB
- SHA256:
- ed9635068583ffde71c5353f42940a8ac717229b0020ea2c381d0328c5751cf0
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