Feature Extraction
MLX
Safetensors
bidirectional_pplx_qwen3
apple-silicon
sentence-similarity
contextual-embeddings
perplexity
qwen3
custom_code
Instructions to use agentmish/pplx-embed-context-v1-4b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use agentmish/pplx-embed-context-v1-4b-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir pplx-embed-context-v1-4b-mlx agentmish/pplx-embed-context-v1-4b-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Link GitHub source repository in model card
Browse files
README.md
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natively support Perplexity's custom `bidirectional_pplx_qwen3` model type. The repository
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includes a small `pplx_mlx_convert` loader package for this artifact.
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## Install
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```bash
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natively support Perplexity's custom `bidirectional_pplx_qwen3` model type. The repository
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includes a small `pplx_mlx_convert` loader package for this artifact.
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## Source Code
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Conversion and validation code lives in [https://github.com/thehumanworks/pplx-mlx](https://github.com/thehumanworks/pplx-mlx).
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## Install
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```bash
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