Instructions to use hyesunyun/NonsenseUpdateDiffIntBart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyesunyun/NonsenseUpdateDiffIntBart 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/NonsenseUpdateDiffIntBart")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hyesunyun/NonsenseUpdateDiffIntBart") model = AutoModelForSeq2SeqLM.from_pretrained("hyesunyun/NonsenseUpdateDiffIntBart") - Notebooks
- Google Colab
- Kaggle
| 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. |