Update README.md

README.md

@@ -67,7 +67,6 @@ Sahrawat, Dhruva, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma,
 ### 🛑 Limitations
 * This keyphrase extraction model is very domain-specific and will perform very well on abstracts of scientific papers. It's not recommended to use this model for other domains, but you are free to test it out.
 * Only works for English documents.
-* For a custom model, please consult the [training notebook]() for more information.
 
 ### ❓ How To Use
 ```python
@@ -143,7 +142,6 @@ print(keyphrases)
 You can find more information in the [paper](https://dl.acm.org/doi/10.3115/1119355.1119383).
 
 ## 👷‍♂️ Training Procedure
-For more in detail information, you can take a look at the [training notebook]().
 
 ### Training Parameters
 
@@ -259,7 +257,5 @@ The model achieves the following results on the Inspec test set:
 |:-----------------:|:----:|:----:|:----:|:----:|:----:|:-----:|:----:|:----:|:----:|
 | Inspec Test Set   | 0.53 | 0.47 | 0.46 | 0.36 | 0.58 | 0.41  | 0.58 | 0.60 | 0.56 |
 
-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.