Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use Alred/t5-small-finetuned-summarization-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alred/t5-small-finetuned-summarization-cnn 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="Alred/t5-small-finetuned-summarization-cnn")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Alred/t5-small-finetuned-summarization-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("Alred/t5-small-finetuned-summarization-cnn") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
#4 opened almost 3 years ago
by
autoevaluator
Add evaluation results on the default config and test split of xsum
#3 opened almost 3 years ago
by
autoevaluator
Librarian Bot: Add base_model information to model
#2 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot