Instructions to use zyc-zju/qwen3-embedding-0.6b_react-agent_nq_ablation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zyc-zju/qwen3-embedding-0.6b_react-agent_nq_ablation with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zyc-zju/qwen3-embedding-0.6b_react-agent_nq_ablation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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---
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base_model: Qwen/Qwen3-Embedding-0.6B
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library_name: transformers
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model_name: qwen3-embedding-0.6b_react-agent_nq_ablation
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tags:
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# Model Card for qwen3-embedding-0.6b_react-agent_nq_ablation
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This model is a fine-tuned version of [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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---
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base_model: Qwen/Qwen3-Embedding-0.6B
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datasets: nq_filtered
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library_name: transformers
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model_name: qwen3-embedding-0.6b_react-agent_nq_ablation
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tags:
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# Model Card for qwen3-embedding-0.6b_react-agent_nq_ablation
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This model is a fine-tuned version of [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) on the [nq_filtered](https://huggingface.co/datasets/nq_filtered) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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