Sentence Similarity
sentence-transformers
PyTorch
English
mpnet
feature-extraction
text-embeddings-inference
Instructions to use flax-sentence-embeddings/reddit_single-context_mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use flax-sentence-embeddings/reddit_single-context_mpnet-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("flax-sentence-embeddings/reddit_single-context_mpnet-base") 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
| [ | |
| {"name": "reddit/reddit_2015.jsonl.gz", "weight": 100}, | |
| {"name": "reddit/reddit_2016.jsonl.gz", "weight": 100}, | |
| {"name": "reddit/reddit_2017.jsonl.gz", "weight": 100}, | |
| {"name": "reddit/reddit_2018.jsonl.gz", "weight": 100} | |
| ] |