Improve model card: Add pipeline tag and update paper link

#2
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +16 -5
README.md CHANGED
@@ -1,9 +1,10 @@
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  ---
 
 
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  library_name: transformers
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  license: apache-2.0
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  license_link: https://huggingface.co/Qwen/Qwen3Guard-Stream-4B/blob/main/LICENSE
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- base_model:
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- - Qwen/Qwen3-4B
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  ---
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  # Qwen3Guard-Stream-4B
@@ -20,7 +21,7 @@ This repository hosts **Qwen3Guard-Stream**, which offers the following key adva
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  * **Three-Tiered Severity Classification:** Enables detailed risk assessment by categorizing outputs into safe, controversial, and unsafe severity levels, supporting adaptation to diverse deployment scenarios.
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  * **Multilingual Support:** Supports 119 languages and dialects, ensuring robust performance in global and cross-lingual applications.
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- For more details, please refer to our [blog](https://qwen.ai/blog?id=f0bbad0677edf58ba93d80a1e12ce458f7a80548&from=research.research-list), [GitHub](https://github.com/QwenLM/Qwen3Guard), and [Technical Report](https://github.com/QwenLM/Qwen3/blob/main/Qwen3_Technical_Report.pdf).
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  ## Quickstart
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@@ -63,7 +64,8 @@ token_ids = model_inputs.input_ids[0]
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  # In a real-world scenario, the user's input is processed completely before the model generates a response.
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  token_ids_list = token_ids.tolist()
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  # We identify the end of the user's turn in the tokenized input.
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- # The template for a user turn is `<|im_start|>user\n...<|im_end|>`.
 
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  im_start_token = '<|im_start|>'
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  user_token = 'user'
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  im_end_token = '<|im_end|>'
@@ -137,4 +139,13 @@ If you find our work helpful, feel free to give us a cite.
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  year={2025},
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  url={http://arxiv.org/abs/2510.14276},
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  }
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- ```
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model:
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+ - Qwen/Qwen3-4B
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  library_name: transformers
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  license: apache-2.0
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  license_link: https://huggingface.co/Qwen/Qwen3Guard-Stream-4B/blob/main/LICENSE
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+ pipeline_tag: text-classification
 
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  ---
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  # Qwen3Guard-Stream-4B
 
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  * **Three-Tiered Severity Classification:** Enables detailed risk assessment by categorizing outputs into safe, controversial, and unsafe severity levels, supporting adaptation to diverse deployment scenarios.
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  * **Multilingual Support:** Supports 119 languages and dialects, ensuring robust performance in global and cross-lingual applications.
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+ For more details, please refer to our [blog](https://qwen.ai/blog?id=f0bbad0677edf58ba93d80a1e12ce458f7a80548&from=research.research-list), [GitHub](https://github.com/QwenLM/Qwen3Guard), and [Technical Report](https://huggingface.co/papers/2510.14276).
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  ## Quickstart
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  # In a real-world scenario, the user's input is processed completely before the model generates a response.
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  token_ids_list = token_ids.tolist()
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  # We identify the end of the user's turn in the tokenized input.
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+ # The template for a user turn is `<|im_start|>user
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+ ...<|im_end|>`.
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  im_start_token = '<|im_start|>'
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  user_token = 'user'
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  im_end_token = '<|im_end|>'
 
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  year={2025},
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  url={http://arxiv.org/abs/2510.14276},
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  }
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+ ```
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+
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+ ## Contact Us
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+ If you are interested to leave a message to either our research team or product team, join our [Discord](https://discord.gg/z3GAxXZ9Ce) or [WeChat groups](https://github.com/QwenLM/Qwen/blob/main/assets/wechat.png)!
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+
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+ <p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
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+ <a href="#readme-top" style="text-decoration: none; color: #007bff; font-weight: bold;">
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+ ↑ Back to Top ↑
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+ </a>
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+ </p>