Sentence Similarity
sentence-transformers
Safetensors
English
feature-extraction
Generated from Trainer
dataset_size:4373977
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Instructions to use LocalWisdom/PurpleStatic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LocalWisdom/PurpleStatic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LocalWisdom/PurpleStatic") sentences = [ "crack", "master", "Academic journals often publish both print editions and digital versions simultaneously.", "ceramic ware" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "__version__": { | |
| "pytorch": "2.13.0+cu130", | |
| "sentence_transformers": "5.6.1", | |
| "transformers": "5.14.1" | |
| }, | |
| "default_prompt_name": null, | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "document": "", | |
| "query": "" | |
| }, | |
| "similarity_fn_name": "cosine" | |
| } |