Update README.md

README.md

@@ -132,6 +132,7 @@ language:
 2. [Training Data and Code](https://huggingface.co/utter-project/mHuBERT-147#training)
 3. [ML-SUPERB Scores](https://huggingface.co/utter-project/mHuBERT-147#ml-superb-scores)
 4. [Languages and Datasets](https://huggingface.co/utter-project/mHuBERT-147#languages-and-datasets)
+5. [Intermediate Checkpoints](https://huggingface.co/utter-project/mHuBERT-147#intermediate-checkpoints)
 6. [Citing and Funding Information](https://huggingface.co/utter-project/mHuBERT-147#citing-and-funding-information)
    
 # mHuBERT-147 models
@@ -186,6 +187,14 @@ See more information in [our paper](https://arxiv.org/pdf/2406.06371).
 
 **Languages present not indexed by Huggingface:** Asturian (ast), Basaa (bas), Cebuano (ceb), Central Kurdish/Sorani (ckb), Hakha Chin (cnh), Hawaiian (haw), Upper Sorbian (hsb) Kabyle (kab), Moksha (mdf), Meadow Mari (mhr), Hill Mari (mrj), Erzya (myv), Taiwanese Hokkien (nan-tw), Sursilvan (rm-sursilv), Vallader (rm-vallader), Sakha (sah), Santali (sat), Scots (sco), Saraiki (skr), Tigre (tig), Tok Pisin (tpi), Akwapen Twi (tw-akuapem), Asante Twi (tw-asante), Votic (vot), Waray (war), Cantonese (yue).
 
+# Intermediate Checkpoints
+
+For allowing research in training dynamics, the intermediate checkpoints for the three iterations are made available under the **CC-BY-NC-SA-4.0** license via a protected link.
+
+* **Downloading page:** https://download.europe.naverlabs.com/mhubert147/
+* **User:** user
+* **Password:** license mentioned above in bold
+
 
 # Citing and Funding Information