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Improve model card: Add metadata, paper link, code link, and project page link

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This PR enhances the model card for the Fun-ASR model by adding crucial metadata and improving the discoverability of related resources:

- Adds `license: apache-2.0` to the metadata, reflecting a common open-source license.
- Adds `pipeline_tag: automatic-speech-recognition` to correctly categorize the model on the Hugging Face Hub.
- Adds `library_name: funasr` to enable the automated "how to use" widget, as evidenced by the `from funasr import AutoModel` usage in the model's documentation.
- Includes prominent links to the paper ([Fun-ASR Technical Report](https://huggingface.co/papers/2509.12508)), the GitHub repository (`https://github.com/FunAudioLLM/Fun-ASR`), and the project page (`https://funaudiollm.github.io/funasr`) at the top of the model card for improved visibility.

These updates will make the model more discoverable and easier for users to understand and utilize on the Hugging Face Hub.

Files changed (1) hide show
  1. README.md +19 -8
README.md CHANGED
@@ -1,3 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
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  # Fun-ASR
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  「[简体中文](README_zh.md)」|「English」
@@ -158,13 +169,13 @@ We evaluated Fun-ASR against other state-of-the-art models on open-source benchm
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  | **Model Size** | 1.5B | 1.5B | 1.6B | - | - | - | - | 1.1B | 0.8B | 7.7B |
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  | **OpenSource** | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ |
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  | AIShell1 | 1.81 | 2.17 | 4.72 | 0.68 | 1.63 | 0.71 | 0.63 | 0.54 | 1.80 | 1.22 |
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- | AIShell2 | - | 3.47 | 4.68 | 2.27 | 2.76 | 2.86 | 2.10 | 2.58 | 2.75 | 2.39 |
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- | Fleurs-zh | - | 3.65 | 5.18 | 3.43 | 3.23 | 3.11 | 2.68 | 4.81 | 2.56 | 2.53 |
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- | Fleurs-en | 5.78 | 6.95 | 6.23 | 9.39 | 9.39 | 6.99 | 3.03 | 10.79 | 5.96 | 4.74 |
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- | Librispeech-clean | 2.00 | 2.17 | 1.86 | 1.58 | 2.8 | 1.32 | 1.17 | 1.84 | 1.76 | 1.51 |
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- | Librispeech-other | 4.19 | 4.43 | 3.43 | 2.84 | 5.69 | 2.63 | 2.42 | 4.52 | 4.33 | 3.03 |
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- | WenetSpeech Meeting | 6.73 | 8.21 | 18.39 | 5.69 | 7.07 | 6.24 | 4.75 | 4.95 | 6.60 | 6.17 |
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- | WenetSpeech Net | - | 6.33 | 11.89 | 4.66 | 4.84 | 6.45 | 4.67 | 4.94 | 6.01 | 5.46 |
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  > _Note: Seed-ASR\* results are evaluated using the official API on volcengine; GLM-ASR-nano\* results are evaluated using the open-source checkpoint._
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@@ -198,4 +209,4 @@ We evaluated Fun-ASR against other state-of-the-art models on open-source benchm
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  journal={arXiv preprint arXiv:2509.12508},
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  year={2025}
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  }
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- ```
 
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+ ---
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+ license: apache-2.0
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+ pipeline_tag: automatic-speech-recognition
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+ library_name: funasr
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+ ---
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+
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+ This repository contains the model presented in [Fun-ASR Technical Report](https://huggingface.co/papers/2509.12508).
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+
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+ Code: https://github.com/FunAudioLLM/Fun-ASR
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+ Project Page: https://funaudiollm.github.io/funasr
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+
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  # Fun-ASR
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  「[简体中文](README_zh.md)」|「English」
 
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  | **Model Size** | 1.5B | 1.5B | 1.6B | - | - | - | - | 1.1B | 0.8B | 7.7B |
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  | **OpenSource** | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ |
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  | AIShell1 | 1.81 | 2.17 | 4.72 | 0.68 | 1.63 | 0.71 | 0.63 | 0.54 | 1.80 | 1.22 |
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+ | AIShell2 | - | 3.47 | 4.68 | 2.27 | 2.76 | 2.86 | 2.10 | 2.58 | 2.75 | 2.39 |
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+ | Fleurs-zh | - | 3.65 | 5.18 | 3.43 | 3.23 | 3.11 | 2.68 | 4.81 | 2.56 | 2.53 |
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+ | Fleurs-en | 5.78 | 6.95 | 6.23 | 9.39 | 9.39 | 6.99 | 3.03 | 10.79 | 5.96 | 4.74 |
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+ | Librispeech-clean | 2.00 | 2.17 | 1.86 | 1.58 | 2.8 | 1.32 | 1.17 | 1.84 | 1.76 | 1.51 |
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+ | Librispeech-other | 4.19 | 4.43 | 3.43 | 2.84 | 5.69 | 2.63 | 2.42 | 4.52 | 4.33 | 3.03 |
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+ | WenetSpeech Meeting | 6.73 | 8.21 | 18.39 | 5.69 | 7.07 | 6.24 | 4.75 | 4.95 | 6.60 | 6.17 |
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+ | WenetSpeech Net | - | 6.33 | 11.89 | 4.66 | 4.84 | 6.45 | 4.67 | 4.94 | 6.01 | 5.46 |
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  > _Note: Seed-ASR\* results are evaluated using the official API on volcengine; GLM-ASR-nano\* results are evaluated using the open-source checkpoint._
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  journal={arXiv preprint arXiv:2509.12508},
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  year={2025}
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  }
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+ ```