Instructions to use kriskda/model-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kriskda/model-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-rw-1b") model = PeftModel.from_pretrained(base_model, "kriskda/model-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32986d7c80956250ef882313827f98e7d734264de96b87d4fdc361d1ba66f2d8
- Size of remote file:
- 4.73 kB
- SHA256:
- fb8108820e84f604ac2b2d444edc366642f93a820756c529d27d8edb3629b5ed
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