Summarization
Transformers
PyTorch
English
encoder-decoder
text2text-generation
Eval Results (legacy)
Instructions to use patrickvonplaten/bert2bert_cnn_daily_mail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/bert2bert_cnn_daily_mail 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="patrickvonplaten/bert2bert_cnn_daily_mail")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/bert2bert_cnn_daily_mail") model = AutoModelForSeq2SeqLM.from_pretrained("patrickvonplaten/bert2bert_cnn_daily_mail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on cnn_dailymail dataset
#1
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator π!
Your model has been evaluated on the cnn_dailymail dataset by @lewtun , using the predictions stored here.
Accept this pull request to see the results displayed on the Hub leaderboard.
Evaluate your model on more datasets here.
Epicness!
patrickvonplaten changed pull request status to merged