Instructions to use galaxyhm/kobartv2-summarizer-using_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galaxyhm/kobartv2-summarizer-using_data with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("galaxyhm/kobartv2-summarizer-using_data") model = AutoModelForSeq2SeqLM.from_pretrained("galaxyhm/kobartv2-summarizer-using_data") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
|
| 2 |
-
Base model :
|
| 3 |
-
|
|
|
|
| 4 |
|
| 5 |
---
|
| 6 |
license: mit
|
|
|
|
| 1 |
|
| 2 |
+
Base model : [kobart-v2](https://huggingface.co/gogamza/kobart-base-v2)
|
| 3 |
+
|
| 4 |
+
Trainging Used data : [Aihub 신문기사 데이터](https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=97)
|
| 5 |
|
| 6 |
---
|
| 7 |
license: mit
|