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 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 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", 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", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
76862c3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d76b678db762df7761041239ca8950fb190135c94bb66ce8aeff5a0ff2933cf5
size 19989896
|