Update README.md

README.md

@@ -2664,10 +2664,11 @@ def mean_pooling(model_output, attention_mask):
     input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
     return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
 
-sentences = ['search_query: What is TSNE?', 'search_query: Who is Laurens van der Maaten?']
+sentences = ['What is TSNE?', 'Who is Laurens van der Maaten?']
 
 tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
-model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1-unsupervised', trust_remote_code=True)
+model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1-ablated', trust_remote_code=True)
+model.eval()
 
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')