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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#5 opened about 3 years ago
by
SFconvertbot
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#4 opened over 3 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
1
#3 opened over 3 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config of cnn_dailymail
#2 opened almost 4 years ago
by
autoevaluator