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
- LM Studio
- Xet hash:
- adf373ce8670fb88d6ad53e08917e1a6d10a3faa920c2080531a62e0d32b44e1
- Size of remote file:
- 11.4 MB
- SHA256:
- 32687b48a8d7da95d23b32a8f24677795496605001bddee04016bb78ebcc2e67
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