Update all references to canonical models (#29001)

* Script & Manual edition

* Update

docs/source/en/model_doc/qdqbert.md

@@ -39,7 +39,7 @@ This model was contributed by [shangz](https://huggingface.co/shangz).
 - QDQBERT model adds fake quantization operations (pair of QuantizeLinear/DequantizeLinear ops) to (i) linear layer
   inputs and weights, (ii) matmul inputs, (iii) residual add inputs, in BERT model.
 - QDQBERT requires the dependency of [Pytorch Quantization Toolkit](https://github.com/NVIDIA/TensorRT/tree/master/tools/pytorch-quantization). To install `pip install pytorch-quantization --extra-index-url https://pypi.ngc.nvidia.com`
-- QDQBERT model can be loaded from any checkpoint of HuggingFace BERT model (for example *bert-base-uncased*), and
+- QDQBERT model can be loaded from any checkpoint of HuggingFace BERT model (for example *google-bert/bert-base-uncased*), and
   perform Quantization Aware Training/Post Training Quantization.
 - A complete example of using QDQBERT model to perform Quatization Aware Training and Post Training Quantization for
   SQUAD task can be found at [transformers/examples/research_projects/quantization-qdqbert/](examples/research_projects/quantization-qdqbert/).