Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
text-embeddings-inference
embedding
retrieval
semantic-search
telecom
domain-adaptation
snowflake-arctic-embed
contrastive-learning
matryoshka
Instructions to use agraharr/telecom-snowflake-arctic-embed-s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use agraharr/telecom-snowflake-arctic-embed-s with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("agraharr/telecom-snowflake-arctic-embed-s") 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