Instructions to use deep20998/sqlcoder-7b-2-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deep20998/sqlcoder-7b-2-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "deep20998/sqlcoder-7b-2-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb899e7ce210e2d1b3f5ee35a0386649ee367ac694f434a5696482ad1c95accc
- Size of remote file:
- 16.8 MB
- SHA256:
- 241e35cacdd1954b17a1d22cea05a44fee372f10dd8220e0cf03b499c6b93f65
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