Update README.md

README.md

@@ -59,7 +59,6 @@ Kulkarni, Mayank, Debanjan Mahata, Ravneet Arora, and Rajarshi Bhowmik. "Learnin
 ### 🛑 Limitations
 * This keyphrase generation 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
@@ -131,8 +130,6 @@ 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
 
 | Parameter | Value |
@@ -243,8 +240,5 @@ The model achieves the following results on the Inspec test set:
 |:-----------------:|:----:|:----:|:----:|:----:|:----:|:-----:|:----:|:----:|:----:|:----:|:----:|:----:|
 | Inspec Test Set   | 0.07 | 0.12 | 0.08 | 0.03 | 0.12 | 0.05  | 0.08 | 0.12 | 0.08 | 0.08 | 0.12 | 0.08 |
 
-
-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.