Removed irrelevant information about setfit in docs

docs/index.md

@@ -6,13 +6,9 @@ Stormtrooper is a lightweight Python library for zero and few-shot classificatio
 You can install stormtrooper from PyPI.
 
 ```
-pip install stormtrooper[torch]
+pip install stormtrooper
 ```
 
-If you intend to use SetFit models as well, install stormtrooper with optional dependencies.
-
-```
-pip install stormtrooper[setfit]
 ```
 
 From version 0.4.0 you can also use OpenAI models in stormtrooper.
@@ -111,7 +107,7 @@ As such, you have to put templated names in brackets.
 To run models locally on a GPU, you can use the `device` attribute of stormtrooper models.
 
 ```python
-model = Trooper("sentence-transformers/all-MiniLM-L6-v2", device="cuda")
+model = Trooper("all-MiniLM-L6-v2", device="cuda")
 ```
 
 ## API Reference

docs/models.md

@@ -61,12 +61,10 @@ It involves:
 
 When you load any encoder-style model in Stormtrooper, they are automatically converted into a SetFit model.
 
-> You have to `pip install setfit` for this to work.
-
 ```python
 from stormtrooper import Trooper
 
-model = Trooper("sentence-transformers/all-MiniLM-L6-v2")
+model = Trooper("all-MiniLM-L6-v2")
 ```
 
 ::: stormtrooper.set_fit.SetFitClassifier