Feature Extraction
Transformers
Safetensors
multilingual
pplx_contextual_qwen3_5
sentence-similarity
contextual-embeddings
custom_code
Instructions to use perplexity-ai/pplx-embed-v2-context-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-v2-context-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-v2-context-0.6b", 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-0.6b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
2 days ago
-
Release contextual text and image embedding model
Co-authored-by: louis-pplx <louis-pplx@users.noreply.huggingface.co>697df6e