Update README.md

README.md

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 <p align="center">
   <img width="200" src="https://github.com/centre-for-humanities-computing/odyCy/raw/main/docs/_static/logo_with_text_below.svg">
-  <div align="center" style="color: #2c5882; font-weight: bold; font-size: 14px; margin-top: -18px;">
+  <div align="center" style="color: #2c5882; font-weight: bold; font-size: 18px; margin-top: -20px;">
     A general-purpose NLP pipeline for Ancient-Greek.
   </div>
 </p>
-<br>
-
-## Features
-
- - [x] Part of speech tagging
- - [x] Lemmatization
- - [x] Dependency parsing
- - [x] Morphological analysis
- - [ ] Named entity recognition (work in progress :construction:)
-
-## Installation
-
-OdyCy models can be directly installed from huggingface:
-
-```bash
-# To install the transformer-based pipeline
-pip install https://huggingface.co/chcaa/grc_odycy_joint_trf/resolve/main/grc_odycy_joint_trf-any-py3-none-any.whl
-```
-
-## Usage
 
 [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/centre-for-humanities-computing/odyCy/blob/main/tutorials/01_odycy_getting_started.ipynb#&offline=true&sandboxMode=true)
-
-OdyCy pipelines can be imported with spaCy.
-
-```python
-import spacy
-# For the transformer-based pipeline
-nlp = spacy.load("grc_odycy_joint_trf")
-# For a faster and smaller (but less accurate) tok2vec-based pipeline
-nlp = spacy.load("grc_odycy_joint_sm")
-```
-
-Pipelines can then be used as any other spaCy pipeline.
-([spaCy Documentation](https://spacy.io/usage))
-
 Check out our Documentation on [Basic Usage](https://centre-for-humanities-computing.github.io/odyCy/getting_started.html).
 
+
 ## Performance
 
 odyCy achieves state of the art performance on multiple tasks on unseen test data from the Universal Dependencies Perseus treebank,