Text Classification
MLX
Safetensors
English
mistral3
apple-silicon
reranker
text-ranking
multimodal
retrieval
nemotron
custom_code
Instructions to use netprojects/Nemotron-3.5-Rerank-8B-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use netprojects/Nemotron-3.5-Rerank-8B-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download netprojects/Nemotron-3.5-Rerank-8B-mlx-4bit --local-dir Nemotron-3.5-Rerank-8B-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from netprojects/Nemotron-3.5-Rerank-8B-mlx-4bit: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/netprojects/Nemotron-3.5-Rerank-8B-mlx-4bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://netprojects/Nemotron-3.5-Rerank-8B-mlx-4bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/netprojects/Nemotron-3.5-Rerank-8B-mlx-4bit/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- ececa1d10eec90e047348d98a59a33c8fbaf1104aad1c2ac80b64dce3dbe2fbc
- Size of remote file:
- 17.1 MB
- SHA256:
- 541bd0794d6befaeb1c68899c51ee47ff082898ab3cd9f45b6a7edafb2d3757e
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