Instructions to use Sehong/t5-large-QuestionGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sehong/t5-large-QuestionGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sehong/t5-large-QuestionGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("Sehong/t5-large-QuestionGeneration") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -16,11 +16,10 @@ https://github.com/Seoneun/T5-Question-Generation
|
|
| 16 |
## Fine-tuning Dataset
|
| 17 |
|
| 18 |
SQuAD 1.1
|
| 19 |
-
Train Data: 75,722
|
| 20 |
|
| 21 |
-
Dev Data
|
| 22 |
-
|
| 23 |
-
|
| 24 |
|
| 25 |
## Demo
|
| 26 |
|
|
|
|
| 16 |
## Fine-tuning Dataset
|
| 17 |
|
| 18 |
SQuAD 1.1
|
|
|
|
| 19 |
|
| 20 |
+
| Train Data | Dev Data | Test Data |
|
| 21 |
+
| ------ | ------ | ------ |
|
| 22 |
+
| 75,722 | 10,570 | 11,877 |
|
| 23 |
|
| 24 |
## Demo
|
| 25 |
|