Summarization
Transformers
PyTorch
English
pegasus
text2text-generation
google/pegasus-reddit_tifu
samsum
Instructions to use jpcorb20/pegasus-large-reddit_tifu-samsum-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpcorb20/pegasus-large-reddit_tifu-samsum-256 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="jpcorb20/pegasus-large-reddit_tifu-samsum-256")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jpcorb20/pegasus-large-reddit_tifu-samsum-256") model = AutoModelForSeq2SeqLM.from_pretrained("jpcorb20/pegasus-large-reddit_tifu-samsum-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot