Update README.md

README.md

@@ -20,8 +20,9 @@ It was trained on a varied mixture of datasets: Multilingual LS, Vox Populi, Com
 trained for 3 iterations with the default 50Hz features rate. For the 4-th iteration, they add an additional convolutional layer at the CNN
 Encoder with the stride 2, resulting in features of 25Hz.
 
-We converted the original Fairseq release to Huggingface🤗 using the [conversion script](link), after [adding support](pr_link), and asserted 
-that the results are [identical](test_link).
+We converted the original Fairseq release to Huggingface🤗 using the [conversion script](https://github.com/huggingface/transformers/blob/main/src/transformers/models/hubert/convert_hubert_original_pytorch_checkpoint_to_pytorch.py), 
+after [adding support](https://github.com/huggingface/transformers/pull/34389), 
+and asserted that the results are [identical](https://github.com/huggingface/transformers/blob/10feacd88aef9569e240b7e3833ab32b297e4460/tests/models/hubert/test_modeling_hubert.py#L947).
 
 - **Developed by:** Hassid et. al
 - **Shared by:** [SLP-RL](https://www.cs.huji.ac.il/~adiyoss/slprl/index.html)
@@ -41,8 +42,8 @@ This is a base HubertModel and as such is useful as a feature extractor for spee
 
 ## How to Get Started with the Model
 
-This model requires a **new** transformers version `transformers>=??`, so make sure you have it installed. Afterwards it can be used as 
-follows:
+This model  currently requires a a clone of the transformers repository, but will be integrated to the package in coming updates soon. Use version `transformers>=??`, so make sure you have it installed. 
+Afterwards it can be used as follows:
 
 ```python
 from transformers import HubertModel