Instructions to use ranjankn/t5-base-xsum-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ranjankn/t5-base-xsum-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-base") model = PeftModel.from_pretrained(base_model, "ranjankn/t5-base-xsum-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea899fba465e7cf461dbbf9d23aec61e97be669493a4f98ec685f08e5facadd5
- Size of remote file:
- 14.3 MB
- SHA256:
- aa6b3b9307c182e3ec3833d943c9fbef0a93a06664d1eb51c4ba9cc23df98a99
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