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

Feature Extraction
Transformers
ONNX
Safetensors
multilingual
bidirectional_pplx_qwen3
sentence-similarity
conteb
contextual-embeddings
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community
8

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

  • Libraries
  • Transformers

    How to use perplexity-ai/pplx-embed-context-v1-0.6b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="perplexity-ai/pplx-embed-context-v1-0.6b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("perplexity-ai/pplx-embed-context-v1-0.6b", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pplx-embed-context-v1-0.6b
5.91 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 37 commits
bowang0911's picture
bowang0911
ariG23498's picture
ariG23498 HF Staff
Adding `transformers` as the library name (#8)
c2fe8be 3 months ago
  • 1_Pooling
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  • assets
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  • onnx
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  • .gitattributes
    1.87 kB
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  • README.md
    8.81 kB
    Adding `transformers` as the library name (#8) 3 months ago
  • added_tokens.json
    707 Bytes
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  • config.json
    1.64 kB
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  • configuration.py
    152 Bytes
    Add new modeling with contextual encoding (#2) 4 months ago
  • merges.txt
    1.67 MB
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  • model.safetensors
    2.38 GB
    xet
    Add latest contextual model 4 months ago
  • modeling.py
    13.1 kB
    support ubinary (#5) 4 months ago
  • modules.json
    362 Bytes
    Add new modeling with contextual encoding (#2) 4 months ago
  • special_tokens_map.json
    788 Bytes
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  • st_quantize.py
    4.35 kB
    support ubinary (#5) 4 months ago
  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.64 kB
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  • vocab.json
    2.78 MB
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