Use clean collection URL https://huggingface.co/collections/wq2012/flaxspeaker

README.md

@@ -51,7 +51,7 @@ For orientation only: published ECAPA-TDNN systems trained on VoxCeleb2-dev reac
 | :--- | :--- |
 | **Model ID** | `ls_conformer_small_ext_softmax` |
 | **Hugging Face Repository** | [`wq2012/ls_conformer_small_ext_softmax`](https://huggingface.co/wq2012/ls_conformer_small_ext_softmax) |
-| **Hugging Face Collection** | [FlaxSpeaker Collection](https://huggingface.co/collections/wq2012/flaxspeaker-6ad02d999a4180c794870595) |
+| **Hugging Face Collection** | [FlaxSpeaker Collection](https://huggingface.co/collections/wq2012/flaxspeaker) |
 | **GitHub Repository** | [`wq2012/FlaxSpeaker`](https://github.com/wq2012/FlaxSpeaker) |
 | **PyPI Package** | [`flaxspeaker`](https://pypi.org/project/flaxspeaker/) |
 | **Backbone Architecture** | `conformer` (`small`) |

eval_results.json

@@ -234,7 +234,7 @@
   "hf_pretrained_dir": "pretrained_models/ls_conformer_small_ext_softmax",
   "hf_repo_id": "wq2012/ls_conformer_small_ext_softmax",
   "hf_url": "https://huggingface.co/wq2012/ls_conformer_small_ext_softmax",
-  "hf_collection_url": "https://huggingface.co/collections/wq2012/flaxspeaker-6ad02d999a4180c794870595",
+  "hf_collection_url": "https://huggingface.co/collections/wq2012/flaxspeaker",
   "vox1_o_10spk_subset_eer_percent": 26.4261,
   "vox1_o_10spk_subset_min_dcf_001": 0.9631,
   "vox1_o_10spk_subset_roc_auc": 0.8133