Fix model file

README.md

@@ -8,9 +8,9 @@ datasets:
 - bookcorpus
 - wikipedia
 ---
-# MultiBERTs Seed 10 (uncased)
+# MultiBERTs Seed 0 (uncased)
 
-Seed 10 MultiBERTs (pretrained BERT) model on English language using a masked language modeling (MLM) objective. It was introduced in
+Seed 0 MultiBERTs (pretrained BERT) model on English language using a masked language modeling (MLM) objective. It was introduced in
 [this paper](https://arxiv.org/pdf/2106.16163.pdf) and first released in
 [this repository](https://github.com/google-research/language/tree/master/language/multiberts). This model is uncased: it does not make a difference
 between english and English.
@@ -51,8 +51,8 @@ Here is how to use this model to get the features of a given text in PyTorch:
 
 ```python
 from transformers import BertTokenizer, BertModel
-tokenizer = BertTokenizer.from_pretrained('multiberts-seed-10')
-model = BertModel.from_pretrained("multiberts-seed-10")
+tokenizer = BertTokenizer.from_pretrained('multiberts-seed-0')
+model = BertModel.from_pretrained("multiberts-seed-0")
 text = "Replace me by any text you'd like."
 encoded_input = tokenizer(text, return_tensors='pt')
 output = model(**encoded_input)