Instructions to use Daxuxu36/T5-large-tec-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Daxuxu36/T5-large-tec-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "Daxuxu36/T5-large-tec-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65cbfccdeb39591392cb5ccad52679088058fc8f1e0eb26a35d2746e413c0ce2
- Size of remote file:
- 4.86 kB
- SHA256:
- b4775fef4427e5bfb0fca7b688279001a4000e9f6f438819d7e6c70f6f9d725a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.