Feature Extraction
Transformers
ONNX
Safetensors
multilingual
bidirectional_pplx_qwen3
sentence-similarity
conteb
contextual-embeddings
custom_code
text-embeddings-inference
Instructions to use perplexity-ai/pplx-embed-context-v1-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use perplexity-ai/pplx-embed-context-v1-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="perplexity-ai/pplx-embed-context-v1-4b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("perplexity-ai/pplx-embed-context-v1-4b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/diag.png from perplexity-ai/pplx-embed-context-v1-4b: direct link, hf CLI and curl.
- Browser
- Download file 1.03 MB
-
https://huggingface.co/perplexity-ai/pplx-embed-context-v1-4b/resolve/main/assets/diag.png
- Command line
-
hf download hf://perplexity-ai/pplx-embed-context-v1-4b/assets/diag.png
-
curl -L -o diag.png https://huggingface.co/perplexity-ai/pplx-embed-context-v1-4b/resolve/main/assets/diag.png
1.03 MB

- Xet hash:
- c100a7572fbc4c692fede8b763f41ff49d04d932bdbfe3f1460236f8bed583b1
- Size of remote file:
- 1.03 MB
- SHA256:
- 63a6e460d1c0aab08674a944c2778403077c4ef27ccbe3a046057dfb4984d2ff
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