Instructions to use mergisi/falcon7binstruct_text_to_sql_optimized_v9 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_v9 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_v9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e29eb0848e87a888c8fb42c98fdb949248181baff3f3757b710c9dd3d6579c9
- Size of remote file:
- 131 MB
- SHA256:
- 01e4f76c18ea1225696dd7890027bcba7d8f6689d3d606890358b8a437654c5f
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