Instructions to use google/roberta2roberta_L-24_cnn_daily_mail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/roberta2roberta_L-24_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="google/roberta2roberta_L-24_cnn_daily_mail")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/roberta2roberta_L-24_cnn_daily_mail") model = AutoModelForSeq2SeqLM.from_pretrained("google/roberta2roberta_L-24_cnn_daily_mail") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
#7 opened over 2 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
#6 opened over 2 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
#5 opened over 2 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
#4 opened over 2 years ago
by
autoevaluator
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
#3 opened over 2 years ago
by
autoevaluator
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
googleroberta2roberta_L-24_cnn_daily_mail : can the limit on output length be expanded?
#1 opened about 3 years ago
by
anamta