Sentence Similarity
sentence-transformers
ONNX
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:181149
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use franzclarin/ReverseDictionary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use franzclarin/ReverseDictionary with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("franzclarin/ReverseDictionary") sentences = [ "a statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other", "correlational statistics", "correlation", "betatron" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!