[docs] update torchao doc link

docs/source/en/quantization/torchao.md

@@ -91,7 +91,7 @@ The quantization methods supported are as follows:
 
 Some quantization methods are aliases (for example, `int8wo` is the commonly used shorthand for `int8_weight_only`). This allows using the quantization methods described in the torchao docs as-is, while also making it convenient to remember their shorthand notations.
 
-Refer to the official torchao documentation for a better understanding of the available quantization methods and the exhaustive list of configuration options available.
+Refer to the [official torchao documentation](https://docs.pytorch.org/ao/stable/index.html) for a better understanding of the available quantization methods and the exhaustive list of configuration options available.
 
 ## Serializing and Deserializing quantized models
 
@@ -155,5 +155,5 @@ transformer.load_state_dict(state_dict, strict=True, assign=True)
 
 ## Resources
 
-- [TorchAO Quantization API](https://github.com/pytorch/ao/blob/main/torchao/quantization/README.md)
+- [TorchAO Quantization API](https://docs.pytorch.org/ao/stable/index.html)
 - [Diffusers-TorchAO examples](https://github.com/sayakpaul/diffusers-torchao)