Instructions to use lorahub/flan_t5_large-quarel_choose_between with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_large-quarel_choose_between 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, "lorahub/flan_t5_large-quarel_choose_between") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 270c00ae532899cbb5d1360c8543326a3cc148a9c4718e11f9cfda7c1f7ee8c2
- Size of remote file:
- 19 MB
- SHA256:
- d50d74e661c542e9ffc722971d907541a87950ba6714d478a807a7e7fc6d5fa3
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