Instructions to use mergisi/falcon7binstruct_text_to_sql_optimized_v8 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_v8 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_v8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 957ca950ebf77a4557656433ee93e87fc3eb558db649410ab1b4c8f883b674ac
- Size of remote file:
- 4.79 kB
- SHA256:
- 279c86d5a7179800f3af32792d4cac23d6a5286daf8a268fb0de00a22cea976b
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