Instructions to use lorahub/flan_t5_large-drop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_large-drop 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-drop") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdcf25c7933847cb7eff20d223a4a364e50315a5a60095005f60d617326b9faa
- Size of remote file:
- 19 MB
- SHA256:
- fb4efc59b3a8766fb0b8bf2e1d140d7fbe06966a4db5174339e963342cf1d35d
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