Sentence Similarity
sentence-transformers
Safetensors
Model2Vec
Korean
feature-extraction
static-embedding
korean
matryoshka
Instructions to use kekeappa/kor-static-embedding-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kekeappa/kor-static-embedding-64 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kekeappa/kor-static-embedding-64") 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] - Model2Vec
How to use kekeappa/kor-static-embedding-64 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("kekeappa/kor-static-embedding-64") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape) - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from kekeappa/kor-static-embedding-64: direct link, hf CLI and curl.
- Browser
- Download file 277 Bytes
-
https://huggingface.co/kekeappa/kor-static-embedding-64/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://kekeappa/kor-static-embedding-64/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/kekeappa/kor-static-embedding-64/resolve/main/config_sentence_transformers.json
277 Bytes
| { | |
| "__version__": { | |
| "pytorch": "2.12.0", | |
| "sentence_transformers": "5.5.0", | |
| "transformers": "5.8.1" | |
| }, | |
| "default_prompt_name": null, | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "document": "", | |
| "query": "" | |
| }, | |
| "similarity_fn_name": "cosine" | |
| } |