Sentence Similarity
sentence-transformers
Safetensors
qwen3
feature-extraction
Generated from Trainer
dataset_size:18851
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use Voctree/harrier-oss-v1-0.6b-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Voctree/harrier-oss-v1-0.6b-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Voctree/harrier-oss-v1-0.6b-finetuned") sentences = [ "Salt-grilled Boneless Galbi", "겉절이(1kg)", "경포대밥상(떡갈비)(1인)", "갈비살소금구이" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K