Sentence Similarity
sentence-transformers
PyTorch
Transformers
Korean
bert
feature-extraction
text-embeddings-inference
Instructions to use smartmind/ko-sbert-augSTS-maxlength512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use smartmind/ko-sbert-augSTS-maxlength512 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("smartmind/ko-sbert-augSTS-maxlength512") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use smartmind/ko-sbert-augSTS-maxlength512 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("smartmind/ko-sbert-augSTS-maxlength512") model = AutoModel.from_pretrained("smartmind/ko-sbert-augSTS-maxlength512") - Notebooks
- Google Colab
- Kaggle