Instructions to use vimal52/Flant5_base_finetune_QLoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vimal52/Flant5_base_finetune_QLoRa with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "vimal52/Flant5_base_finetune_QLoRa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cebf1685fb725ff52fa318b45ff193d4a76f61d53b73a14771469b8ebbca4553
- Size of remote file:
- 4.16 kB
- SHA256:
- cd02bde36d7a44c797727c8f8146f35b61ba3e88756e0029de4df3c77d4fe6a9
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