Instructions to use geektech/t5-xl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use geektech/t5-xl-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("t5-3b") model = PeftModel.from_pretrained(base_model, "geektech/t5-xl-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 958b6221f552acdf81ef65f6847f15445a93d6cb4054ee089f502cc3e226b4ac
- Size of remote file:
- 4.41 kB
- SHA256:
- a76577781507aa91a096bcd43f21a9a26f5243c22e46662e11b26f5afd3fe703
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