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mHuBERT-147

Feature Extraction

Inference Endpoints

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mzboito commited on 22 days ago

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@@ -147,8 +147,8 @@ Training employs a two-level language, data source up-sampling during training.
 * Faiss index for continuous pre-training (OPQ16_64,IVF1000_HNSW32,PQ16x4fsr).
 **Related Models:**
-* [Second Iteration repository](https://huggingface.co/utter-project/mHuBERT-147-base-2nd-iter)
-* [First Iteration repository](https://huggingface.co/utter-project/mHuBERT-147-base-1st-iter)
 * [CommonVoice Prototype (12 languages)](https://huggingface.co/utter-project/hutter-12-3rd-base)
 # Training

 * Faiss index for continuous pre-training (OPQ16_64,IVF1000_HNSW32,PQ16x4fsr).
 **Related Models:**
+* [2nd Iteration mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147-base-2nd-iter)
+* [1st Iteration mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147-base-1st-iter)
 * [CommonVoice Prototype (12 languages)](https://huggingface.co/utter-project/hutter-12-3rd-base)
 # Training