Update README.md

README.md

@@ -9,25 +9,14 @@ tags:
 license: cc-by-4.0
 ---
 
-# BNC-BERT
+# LTG-BERT for the BabyLM challenge
 
 - Paper: [Trained on 100 million words and still in shape: BERT meets British National Corpus](https://arxiv.org/abs/2303.09859)
 - GitHub: [ltgoslo/ltg-bert](https://github.com/ltgoslo/ltg-bert)
 
-## Example usage
-
-This model currently needs a custom wrapper from `modeling_ltgbert.py`. Then you can use it like this:
-
-```python
-import torch
-from transformers import AutoTokenizer
-from modeling_ltgbert import LtgBertForMaskedLM
-
-tokenizer = AutoTokenizer.from_pretrained("path/to/folder")
-bert = LtgBertForMaskedLM.from_pretrained("path/to/folder")
-```
 
 ## Please cite the following publication (just arXiv for now)
+
 ```bibtex
 @inproceedings{samuel-etal-2023-trained,
     title = "Trained on 100 million words and still in shape: {BERT} meets {B}ritish {N}ational {C}orpus",