Update README.md

README.md

@@ -2659,3 +2659,15 @@ embeddings = F.normalize(embeddings, p=2, dim=1)
 print(embeddings)
 ```
 
+The model natively supports scaling of the sequence length past 2048 tokens. To do so, 
+
+```python
+- tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
++ tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased', model_max_length=8192)
+
+
+- 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-unsupervised', trust_remote_code=True, rotary_scaling_factor=2)
+```
+
+