Instructions to use minhnhat136/deepseek_1b_sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhnhat136/deepseek_1b_sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct") model = PeftModel.from_pretrained(base_model, "minhnhat136/deepseek_1b_sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05ef66603d07b47fa71055e782238b342030c5a4f590f7de0f462851340bce41
- Size of remote file:
- 480 MB
- SHA256:
- ad2aa0d9caacbfeceba37361f403f991eecfa9e8d41b9a68100e6f0ef83ef0ce
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