Instructions to use ccdv/lsg-bart-base-4096-wcep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccdv/lsg-bart-base-4096-wcep with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="ccdv/lsg-bart-base-4096-wcep", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ccdv/lsg-bart-base-4096-wcep", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("ccdv/lsg-bart-base-4096-wcep", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
How should we cite?
#1
by johngiorgi - opened
Hello! I would like to cite this model. Is there a certain paper I should cite? Or is citing this repository okay?
hi @johngiorgi
The paper is under anonymized review right now.
You can either cite this repo or this github repo.
Great, thanks @ccdv !
johngiorgi changed discussion status to closed