Instructions to use andersonbcdefg/flan_t5_80m-finetune-samsum-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andersonbcdefg/flan_t5_80m-finetune-samsum-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small") model = PeftModel.from_pretrained(base_model, "andersonbcdefg/flan_t5_80m-finetune-samsum-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd8b01c98bcd3c439143fa8d7b7a466dbf5a5f0d8d51ea4001ce76e341d09ceb
- Size of remote file:
- 4.28 MB
- SHA256:
- dd2eba28e1fdc5bcbabe9a90e0511a805447b2f45a4c53360e7e8eccdb31b6d7
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