diff --git a/docs/source/onnxruntime/usage_guides/models.mdx b/docs/source/onnxruntime/usage_guides/models.mdx
index f34bd23ac2..1292e755c0 100644
--- a/docs/source/onnxruntime/usage_guides/models.mdx
+++ b/docs/source/onnxruntime/usage_guides/models.mdx
@@ -9,7 +9,7 @@ to run accelerated inference without rewriting your APIs.
 
 ### Transformers models
 
-Once your model was [exported to the ONNX format](https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model), you can load it by replacing the `AutoModelForXxx` class with the corresponding `ORTModelForXxx`.
+Once your model was [exported to the ONNX format](https://huggingface.co/docs/optimum/exporters/onnx/usage_guides/export_a_model), you can load it by replacing the `AutoModelForXxx` class with the corresponding `ORTModelForXxx`.
 
 ```diff
   from transformers import AutoTokenizer, pipeline
@@ -24,12 +24,12 @@ Once your model was [exported to the ONNX format](https://huggingface.co/docs/op
   result = pipe("He never went out without a book under his arm")
 ```
 
-More information for all the supported `ORTModelForXxx` in our [documentation](https://huggingface.co/docs/optimum/main/en/onnxruntime/package_reference/modeling_ort)
+More information for all the supported `ORTModelForXxx` in our [documentation](https://huggingface.co/docs/optimum/onnxruntime/package_reference/modeling_ort)
 
 
 ### Diffusers models
 
-Once your model was [exported to the ONNX format](https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model), you can load it by replacing the `DiffusionPipeline` class with the corresponding `ORTDiffusionPipeline`.
+Once your model was [exported to the ONNX format](https://huggingface.co/docs/optimum/exporters/onnx/usage_guides/export_a_model), you can load it by replacing the `DiffusionPipeline` class with the corresponding `ORTDiffusionPipeline`.
 
 
 ```diff
@@ -45,7 +45,7 @@ Once your model was [exported to the ONNX format](https://huggingface.co/docs/op
 
 ## Converting your model to ONNX on-the-fly
 
-In case your model wasn't already [converted to ONNX](https://huggingface.co/docs/optimum/main/en/exporters/onnx/usage_guides/export_a_model), [`~optimum.onnxruntime.ORTModel`] includes a method to convert your model to ONNX on-the-fly.
+In case your model wasn't already [converted to ONNX](https://huggingface.co/docs/optimum/exporters/onnx/usage_guides/export_a_model), [`~optimum.onnxruntime.ORTModel`] includes a method to convert your model to ONNX on-the-fly.
 Simply pass `export=True` to the [`~optimum.onnxruntime.ORTModel.from_pretrained`] method, and your model will be loaded and converted to ONNX on-the-fly:
 
 ```python