Instructions to use BM-K/KoSimCSE-bert-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BM-K/KoSimCSE-bert-multitask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BM-K/KoSimCSE-bert-multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BM-K/KoSimCSE-bert-multitask") model = AutoModel.from_pretrained("BM-K/KoSimCSE-bert-multitask") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
https://github.com/BM-K/Sentence-Embedding-is-all-you-need
|
| 2 |
|
| 3 |
# Korean-Sentence-Embedding
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language: ko
|
| 3 |
+
tags:
|
| 4 |
+
- korean
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
https://github.com/BM-K/Sentence-Embedding-is-all-you-need
|
| 8 |
|
| 9 |
# Korean-Sentence-Embedding
|