Instructions to use lorahub/flan_t5_xl-word_segment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_xl-word_segment with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-xl") model = PeftModel.from_pretrained(base_model, "lorahub/flan_t5_xl-word_segment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be145435dd004a91a812a5399063ce69049046fe3c4ccccfe5ba699454be22d9
- Size of remote file:
- 37.9 MB
- SHA256:
- 39161d1e7c1759181d4d71e5648a8eef1cb01a3e92d15a7955cb8dbb99b9cc91
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