Instructions to use burtenshaw/code-smol2-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use burtenshaw/code-smol2-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM2-1.7B-Instruct") model = PeftModel.from_pretrained(base_model, "burtenshaw/code-smol2-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94e813fc62e691533f0babc8ed8b301118b1f0ed838cbf581421a10744f5c3c5
- Size of remote file:
- 5.5 kB
- SHA256:
- 54eb7d184bd2202c5d61e3504d96b1f5933d30d3eee656014cb29ffd1072c46e
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