Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

sentence-transformers
/
paraphrase-multilingual-mpnet-base-v2

Sentence Similarity
sentence-transformers
PyTorch
google-tensorflow TensorFlow
ONNX
Safetensors
OpenVINO
Transformers
xlm-roberta
feature-extraction
text-embeddings-inference
Eval Results
Model card Files Files and versions
xet
Community
16

Instructions to use sentence-transformers/paraphrase-multilingual-mpnet-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sentence-transformers/paraphrase-multilingual-mpnet-base-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sentence-transformers/paraphrase-multilingual-mpnet-base-v2")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Transformers

    How to use sentence-transformers/paraphrase-multilingual-mpnet-base-v2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/paraphrase-multilingual-mpnet-base-v2")
    model = AutoModel.from_pretrained("sentence-transformers/paraphrase-multilingual-mpnet-base-v2")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add evaluation results for model sentence-transformers/paraphrase-multilingual-mpnet-base-v2 revision 79f2382ceacceacdf38563d7c5d16b9ff8d725d6

#16 opened 3 months ago by
Samoed

Request: DOI

#15 opened 6 months ago by
mehrdaddashti

Update README.md

#13 opened 10 months ago by
piyushsinghpasi

Training datasets used for Danish, Swedish and Spanish languages

1
#12 opened over 1 year ago by
cgjoshi

Is a new version supporting a larger maximum sentence limit (256 or 512) possible in the future?

🤝 2
6
#10 opened over 2 years ago by
lamhieu

Default tokenization differs between sentence_transformers and transformers version

#6 opened over 2 years ago by
jokokojote

Model card: Language?

4
#4 opened almost 3 years ago by
stevens11951

Which is the paraphrase training dataset used for the teacher model?

1
#2 opened over 3 years ago by
yuricampbell
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs