Update README.md

README.md

@@ -18,7 +18,7 @@ You can test the model directly in your browser through the following Hugging Fa
 It's important to note that **this model is universal and operates across all domains**. However, if you are seeking performance metrics close to a 90/99% F1 score for a specific domain, you are encouraged to reach out via email to Michele Montebovi at montebovi.michele@gmail.com. This direct contact allows for the possibility of customizing the model to achieve enhanced performance tailored to your unique entity recognition requirements in the Italian language.
 
 # Installation
-To use this model, you must download the GLiNER repository and install its dependencies:
+To use this model, you must download the GLiNER repository and install its dependencies!!:
 
 ```
 !git clone https://github.com/urchade/GLiNER.git
@@ -27,7 +27,6 @@ To use this model, you must download the GLiNER repository and install its depen
 ```
 
 # Usage
-Once you've downloaded the GLiNER repository, you can import the GLiNER class from the model file. You can then load this model using GLiNER.from_pretrained and predict entities with predict_entities.
 
 ```python
 from model import GLiNER