Summarization
Transformers
PyTorch
English
pegasus
text2text-generation
seq2seq
Eval Results (legacy)
Instructions to use tuner007/pegasus_summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuner007/pegasus_summarizer 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="tuner007/pegasus_summarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tuner007/pegasus_summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("tuner007/pegasus_summarizer") - Notebooks
- Google Colab
- Kaggle
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#3
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator π! We've added a new verifyToken field to your evaluation results to verify that they are produced by the model evaluator. Accept this PR to ensure that your results remain listed as verified on the Hub leaderboard.