Sentence Similarity
sentence-transformers
PyTorch
English
prompt-ballerina
code
similarity
ballerina
Instructions to use didula-wso2/prompt-similarity-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use didula-wso2/prompt-similarity-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("didula-wso2/prompt-similarity-model") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K