[Docs fix] Relative path issue

docs/source/developer_guides/custom_models.mdx

@@ -14,7 +14,7 @@ specific language governing permissions and limitations under the License.
 
 Some fine-tuning techniques, such as prompt tuning, are specific to language models. That means in 🤗 PEFT, it is
 assumed a 🤗 Transformers model is being used. However, other fine-tuning techniques - like
-[LoRA](./conceptual_guides/lora) - are not restricted to specific model types.
+[LoRA](../conceptual_guides/lora) - are not restricted to specific model types.
 
 In this guide, we will see how LoRA can be applied to a multilayer perceptron and a computer vision model from the [timm](https://huggingface.co/docs/timm/index) library.
 

docs/source/developer_guides/low_level_api.mdx

@@ -17,7 +17,7 @@ The development of this API has been motivated by the need for super users to no
 
 ## Supported tuner types
 
-Currently the supported adapter types are the 'injectable' adapters, meaning adapters where an inplace modification of the model is sufficient to correctly perform the fine tuning. As such, only [LoRA](./conceptual_guides/lora), AdaLoRA and [IA3](./conceptual_guides/ia3) are currently supported in this API.
+Currently the supported adapter types are the 'injectable' adapters, meaning adapters where an inplace modification of the model is sufficient to correctly perform the fine tuning. As such, only [LoRA](../conceptual_guides/lora), AdaLoRA and [IA3](../conceptual_guides/ia3) are currently supported in this API.
 
 ## `inject_adapter_in_model` method