Update README.md

README.md

@@ -61,7 +61,6 @@ Keyphrase extraction models are transformer models fine-tuned as a token classif
 ### 🛑 Limitations
 * Limited amount of predicted keyphrases.
 * Only works for English documents.
-* For a custom model, please consult the [training notebook]() for more information.
 
 ### ❓ How To Use
 ```python
@@ -136,8 +135,6 @@ print(keyphrases)
 You can find more information in the [paper](https://arxiv.org/abs/1911.02671). 
 
 ## 👷‍♂️ Training Procedure
-For more in detail information, you can take a look at the [training notebook]().
-
 ### Training Parameters
 
 | Parameter | Value |
@@ -252,7 +249,5 @@ The model achieves the following results on the OpenKP test set:
 |:-----------------:|:----:|:----:|:----:|:----:|:----:|:-----:|:----:|:----:|:----:|
 | OpenKP Test Set   | 0.12 | 0.33 | 0.17 | 0.06 | 0.33 | 0.10  | 0.35 | 0.33 | 0.31 |
 
-For more information on the evaluation process, you can take a look at the keyphrase extraction evaluation notebook.
-
 ## 🚨 Issues
 Please feel free to start discussions in the Community Tab.