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:
- 143ba51796e953209f683a3843b94993a86f737e76b5f87d6058be410adfa869
- Size of remote file:
- 4.79 kB
- SHA256:
- dc25c2fbfdab36b76ee6d16ad76d21c9c5dcbfa132e808bda2eaeb546e08cc63
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