Instructions to use mergisi/falcon7binstruct_text_to_sql_optimized_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mergisi/falcon7binstruct_text_to_sql_optimized_v7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vilsonrodrigues/falcon-7b-instruct-sharded") model = PeftModel.from_pretrained(base_model, "mergisi/falcon7binstruct_text_to_sql_optimized_v7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc6280abbe6df7317c06c6cdabb3434d4ba7477fbed844cf95ea7cf3294bead9
- Size of remote file:
- 4.79 kB
- SHA256:
- 1f06ed6c3ccfe2401464e1e68b48489442f91e6e675777f07dd1b23798481e1b
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