Update README.md

README.md

@@ -16,8 +16,8 @@ Sample usage:
 import torch
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained('dicta-il/mt5-xl-heq-ft')
-model = AutoModelForSeq2SeqLM.from_pretrained('dicta-il/mt5-xl-heq-ft')
+tokenizer = AutoTokenizer.from_pretrained('dicta-il/mt5-xl-heq')
+model = AutoModelForSeq2SeqLM.from_pretrained('dicta-il/mt5-xl-heq')
 
 model.eval()
 
@@ -47,7 +47,7 @@ Output:
 
 ## Citation
 
-If you use `mt5-xl-heq-ft` in your research, please cite ```DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew```
+If you use `mt5-xl-heq` in your research, please cite ```DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew```
 
 **BibTeX:**