Instructions to use dudcjs2779/dialogue-summarization-T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dudcjs2779/dialogue-summarization-T5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dudcjs2779/dialogue-summarization-T5") model = AutoModelForSeq2SeqLM.from_pretrained("dudcjs2779/dialogue-summarization-T5") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,2 +1,6 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
학습 코드: https://github.com/dudcjs2779/kr-dialogue-summarization-upstage-competition.git
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- ko
|
| 4 |
+
---
|
| 5 |
+
원본 모델: https://huggingface.co/eenzeenee/t5-base-korean-summarization
|
| 6 |
학습 코드: https://github.com/dudcjs2779/kr-dialogue-summarization-upstage-competition.git
|