Instructions to use Inishds/deepseekcoder1.3B-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Inishds/deepseekcoder1.3B-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-base") model = PeftModel.from_pretrained(base_model, "Inishds/deepseekcoder1.3B-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 839620f5ed0972e6c2a4760357f1693a5a05927fd6aac99c80ed69d6c17e4d7f
- Size of remote file:
- 4.73 kB
- SHA256:
- f187882ceaa4b9ec0856c6e560f90bb5914e175a5540c4bd8ae16bcb3e188ec4
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