Summarization
Transformers
PyTorch
Safetensors
Korean
t5
text2text-generation
text-generation-inference
Instructions to use psyche/KoT5-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psyche/KoT5-summarization 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="psyche/KoT5-summarization")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("psyche/KoT5-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("psyche/KoT5-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,4 +4,11 @@ languages:
|
|
| 4 |
|
| 5 |
license: apache-2.0
|
| 6 |
---
|
| 7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
|
| 5 |
license: apache-2.0
|
| 6 |
---
|
| 7 |
+
|
| 8 |
+
|dataset|ROUGE-1|ROUGE-2|ROUGE-L|
|
| 9 |
+
|:---:|:---:|:---:|:---:|
|
| 10 |
+
|model|-|-|-|
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
More Information of KoT5 -> https://github.com/wisenut-research/KoT5
|
| 14 |
+
|