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
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!