Update README.md

README.md

@@ -54,8 +54,8 @@ def mean_pooling(model_output, attention_mask):
 sentences = ['This is an example sentence', 'Each sentence is converted']
 
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
-model = AutoModel.from_pretrained('{MODEL_NAME}')
+tokenizer = AutoTokenizer.from_pretrained(textgain/tags-allnli-GroNLP-bert-base-dutch-cased)
+model = AutoModel.from_pretrained(textgain/tags-allnli-GroNLP-bert-base-dutch-cased)
 
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')