| --- | |
| base_model: intfloat/multilingual-e5-large | |
| library_name: sentence-transformers | |
| ## Usage | |
| ### Direct Usage (Sentence Transformers) | |
| First install the Sentence Transformers library: | |
| ```bash | |
| pip install -U sentence-transformers | |
| ``` | |
| Then you can load this model and run inference. | |
| ```python | |
| from sentence_transformers import SentenceTransformer | |
| # Download from the 🤗 Hub | |
| model = SentenceTransformer("HasinMDG/multilingual-e5-large") | |
| # Run inference | |
| sentences = [ | |
| "passage: Fit Bodies Aren't Perfect, Either \n", | |
| 'passage: Royals attend extravagant ceremony to celebrate the opening of new museum', | |
| 'passage: Native-American Kids Doused With Beer at SD Hockey Game \n', | |
| ] | |
| embeddings = model.encode(sentences) | |
| print(embeddings.shape) | |
| # [3, 1024] | |
| # Get the similarity scores for the embeddings | |
| similarities = model.similarity(embeddings, embeddings) | |
| print(similarities.shape) | |
| # [3, 3] | |
| ``` | |