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perplexity-ai
/
pplx-embed-v1-late-0.6b

Feature Extraction
sentence-transformers
Safetensors
Kernels
bidirectional_pplx_qwen3
multi-vector
custom_code
late-interaction
maxsim
pylate
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use perplexity-ai/pplx-embed-v1-late-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use perplexity-ai/pplx-embed-v1-late-0.6b with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("perplexity-ai/pplx-embed-v1-late-0.6b", trust_remote_code=True)
    
    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]
  • Kernels

    How to use perplexity-ai/pplx-embed-v1-late-0.6b with Kernels:

    # !pip install kernels
    
    from kernels import get_kernel
    
    kernel = get_kernel("perplexity-ai/pplx-embed-v1-late-0.6b")
  • Notebooks
  • Google Colab
  • Kaggle
pplx-embed-v1-late-0.6b
2.4 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 12 commits
bowang0911's picture
bowang0911
tomaarsen's picture
tomaarsen HF Staff
Add Sentence Transformers usage (#2)
4d28cf6 16 days ago
  • 1_Dense
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  • assets
    Upload assets/logo.svg 4 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.74 kB
    Add Sentence Transformers usage (#2) 16 days ago
  • added_tokens.json
    743 Bytes
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  • config.json
    1.77 kB
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  • config_sentence_transformers.json
    758 Bytes
    Update config_sentence_transformers.json 4 months ago
  • configuration.py
    152 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    2.38 GB
    xet
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  • modeling.py
    3.39 kB
    Fix transformers 5.9+ compatibility: create_causal_mask kwarg rename (#1) 3 months ago
  • modules.json
    216 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    781 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.97 kB
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  • vocab.json
    2.78 MB
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