Instructions to use jonathanjordan21/mt5-base-finetuned-lora-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jonathanjordan21/mt5-base-finetuned-lora-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base") model = PeftModel.from_pretrained(base_model, "jonathanjordan21/mt5-base-finetuned-lora-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49c337a70bffc4b4a5fa6eb324d8448961613d00fb07129011c584011f6908a6
- Size of remote file:
- 16.3 MB
- SHA256:
- f60f56ea0f09238b140ce7ae6f0d24f3e212bcdb30b6fa3c4c789427d38ab420
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