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

Feature Extraction
sentence-transformers
ONNX
Safetensors
multilingual
bidirectional_pplx_qwen3
sentence-similarity
mteb
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community
12

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("perplexity-ai/pplx-embed-v1-0.6b", 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]
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AttributeError: module 'transformers_modules.pplx_hyphen_embed_hyphen_v1_hyphen_0_dot_6b.654137389e247d9f.st_quantize' has no attribute 'FlexibleQuantizer'

#12 opened 17 days ago by
conceptofmind

Enable Baseten-Embeddings-Inference

1
#11 opened 2 months ago by
baseten-admin
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