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PM-AI
/
paraphrase-distilroberta-base-v2_de-en

Feature Extraction
sentence-transformers
PyTorch
Safetensors
Transformers
German
English
xlm-roberta
semantic textual similarity
sts
semantic search
sentence similarity
paraphrasing
documents retrieval
passage retrieval
information retrieval
sentence-transformer
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use PM-AI/paraphrase-distilroberta-base-v2_de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use PM-AI/paraphrase-distilroberta-base-v2_de-en with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("PM-AI/paraphrase-distilroberta-base-v2_de-en")
    
    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 PM-AI/paraphrase-distilroberta-base-v2_de-en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="PM-AI/paraphrase-distilroberta-base-v2_de-en")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("PM-AI/paraphrase-distilroberta-base-v2_de-en")
    model = AutoModel.from_pretrained("PM-AI/paraphrase-distilroberta-base-v2_de-en", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
paraphrase-distilroberta-base-v2_de-en
5.98 kB
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  • 2 contributors
History: 2 commits
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PM-AI
Create README.md
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  • README.md
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