Instructions to use hyesunyun/NonsenseUpdateDiffStringBart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyesunyun/NonsenseUpdateDiffStringBart 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="hyesunyun/NonsenseUpdateDiffStringBart")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hyesunyun/NonsenseUpdateDiffStringBart") model = AutoModelForSeq2SeqLM.from_pretrained("hyesunyun/NonsenseUpdateDiffStringBart") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- en
tags:
- summarization
- diff generation
datasets:
- nonsense corpus
metrics:
- rouge
hello! this is the pretrained BART. The dataset used for pretraining is nonsense summary corpus with output as diff.