Instructions to use endyjasmi/Qwen3-Reranker-0.6B-Q4_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use endyjasmi/Qwen3-Reranker-0.6B-Q4_K_M-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("endyjasmi/Qwen3-Reranker-0.6B-Q4_K_M-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76ca0d6dc9433d825f9534e1c5ceada779bd233a221fee88d97743fcf8d1ce64
- Size of remote file:
- 396 MB
- SHA256:
- 006462ec37ebdc64b898bd494131e844c58c4b1dd93e5227b3df644c92355c1a
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