Sentence Similarity
sentence-transformers
PyTorch
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use mrm8488/m-e5-large_bs64_10_all_languages with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mrm8488/m-e5-large_bs64_10_all_languages with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mrm8488/m-e5-large_bs64_10_all_languages") 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
- Xet hash:
- 53b2e9efdd64cfd77d0a557df6b250b6a4a62045051246a99ef6f0e67862dbd6
- Size of remote file:
- 2.24 GB
- SHA256:
- 5747a8ba117739fded8bb1d966ab08ace6b9235c7e0116d03d5b682c6fa45e64
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