Instructions to use richtext/Qwen3-Reranker-0.6B-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use richtext/Qwen3-Reranker-0.6B-mlx-fp16 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("richtext/Qwen3-Reranker-0.6B-mlx-fp16") model = AutoModelForCausalLM.from_pretrained("richtext/Qwen3-Reranker-0.6B-mlx-fp16", device_map="auto") - MLX
How to use richtext/Qwen3-Reranker-0.6B-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Reranker-0.6B-mlx-fp16 richtext/Qwen3-Reranker-0.6B-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- fb658df8bbff93759d177a2dfc029811ea68f04efaf3fec29909ce56ca56f361
- Size of remote file:
- 1.19 GB
- SHA256:
- 732a56e7e99b61fcc86ea0084107ccb42707e3e587afe683ab69a979e014100d
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