Instructions to use sabre-code/pegasus-large-cnn-dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sabre-code/pegasus-large-cnn-dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sabre-code/pegasus-large-cnn-dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("sabre-code/pegasus-large-cnn-dailymail") - Notebooks
- Google Colab
- Kaggle
Commit ·
6e71065
1
Parent(s): c174212
Update README.md
Browse files
README.md
CHANGED
|
@@ -26,7 +26,7 @@ More information needed
|
|
| 26 |
|
| 27 |
## Training and evaluation data
|
| 28 |
|
| 29 |
-
|
| 30 |
|
| 31 |
## Training procedure
|
| 32 |
|
|
|
|
| 26 |
|
| 27 |
## Training and evaluation data
|
| 28 |
|
| 29 |
+
For training of this PEGASUS-large 10k samples were taken from CNN-Dailymail Dataset
|
| 30 |
|
| 31 |
## Training procedure
|
| 32 |
|