Instructions to use MinkyuRamen/t5-large_PREFIX_FINETUNE_PRACTICE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MinkyuRamen/t5-large_PREFIX_FINETUNE_PRACTICE with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("t5-large") model = PeftModel.from_pretrained(base_model, "MinkyuRamen/t5-large_PREFIX_FINETUNE_PRACTICE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6712c3bb22bd29cb91b8000a46d26707492bfca01e1fa22a5c57926e000775d
- Size of remote file:
- 3.93 MB
- SHA256:
- a31688bb7903782fc36bdd72b23fb39f0c051531b3b6a10db3d6225b08ddf8e4
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