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] hf download agentmish/pplx-embed-context-v1-4b-mlx --local-dir pplx-embed-context-v1-4b-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from agentmish/pplx-embed-context-v1-4b-mlx: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/agentmish/pplx-embed-context-v1-4b-mlx/resolve/main/tokenizer.json
- Command line
-
hf download hf://agentmish/pplx-embed-context-v1-4b-mlx/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/agentmish/pplx-embed-context-v1-4b-mlx/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- adf373ce8670fb88d6ad53e08917e1a6d10a3faa920c2080531a62e0d32b44e1
- Size of remote file:
- 11.4 MB
- SHA256:
- 32687b48a8d7da95d23b32a8f24677795496605001bddee04016bb78ebcc2e67
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