Sentence Similarity
sentence-transformers
PyTorch
roberta
feature-extraction
text-embeddings-inference
Instructions to use abhik1505040/distilroberta-screen-description-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use abhik1505040/distilroberta-screen-description-matching with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abhik1505040/distilroberta-screen-description-matching") 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
README.md exists but content is empty.
- Downloads last month
- 9