Feature Extraction
Transformers
Safetensors
multilingual
pplx_contextual_qwen3_5
sentence-similarity
contextual-embeddings
custom_code
Instructions to use perplexity-ai/pplx-embed-v2-context-9b-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use perplexity-ai/pplx-embed-v2-context-9b-preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="perplexity-ai/pplx-embed-v2-context-9b-preview", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("perplexity-ai/pplx-embed-v2-context-9b-preview", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
19 days ago
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docs: add blog citation to model card
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27 days ago
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Update modeling_pplx_contextual.py
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Update README.md
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Update README.md
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29 days ago
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Add preview embedding weights and model card
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Add validated contextual embedding preview
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initial commit
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