Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use jhgan/ko-sbert-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jhgan/ko-sbert-multitask with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jhgan/ko-sbert-multitask") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use jhgan/ko-sbert-multitask with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jhgan/ko-sbert-multitask") model = AutoModel.from_pretrained("jhgan/ko-sbert-multitask") - Inference
- Notebooks
- Google Colab
- Kaggle
[라이센스 확인 요청]
#4
by flipflop98 - opened
Junghyun Gan 님,
안녕하세요. 처음 인사 드립니다.
다름 아니고 본 ko-sroberta-multitask 모델의 라이센스가 무엇인지요?
확인 부탁 드리겠습니다.
감사합니다.
김창현 드림