Instructions to use daekeun-ml/KoSimCSE-supervised-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daekeun-ml/KoSimCSE-supervised-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="daekeun-ml/KoSimCSE-supervised-roberta-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("daekeun-ml/KoSimCSE-supervised-roberta-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
be5c4cb
1
Parent(s): 8696913
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,13 +5,6 @@ language:
|
|
| 5 |
pipeline_tag: feature-extraction
|
| 6 |
---
|
| 7 |
|
| 8 |
-
---
|
| 9 |
-
license: mit
|
| 10 |
-
language:
|
| 11 |
-
- ko
|
| 12 |
-
pipeline_tag: feature-extraction
|
| 13 |
-
---
|
| 14 |
-
|
| 15 |
# KoSimCSE Training on Amazon SageMaker
|
| 16 |
|
| 17 |
|
|
|
|
| 5 |
pipeline_tag: feature-extraction
|
| 6 |
---
|
| 7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
# KoSimCSE Training on Amazon SageMaker
|
| 9 |
|
| 10 |
|