Instructions to use ShushantLLM/flan-t5-base-dialogsum-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShushantLLM/flan-t5-base-dialogsum-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "ShushantLLM/flan-t5-base-dialogsum-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3178dc0f2d2a706e45f3a1dcf5a0505cb814c69dad48c0e51f587c005357921
- Size of remote file:
- 7.1 MB
- SHA256:
- 4559933b7ac9a13023f177296289d9e2f6965651e79e251eee8ac5782a9ec969
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