Update README.md

README.md

@@ -2664,6 +2664,12 @@ embeddings = model.encode(['How is the weather today?', 'What is the current wea
 print(cos_sim(embeddings[0], embeddings[1]))
 ```
 
+If you only want to handle shorter sequence, such as 2k, pass the `max_length` parameter to the `encode` function:
+
+```python
+embeddings = model.encode(['Very long ... document'], max_length=2048)
+```
+
 For long sequences, it's recommended to perform inference using Flash Attention. Using Flash Attention allows you to increase the batch size and throughput for long sequence length.
 We include an experimental implementation for Flash Attention, shipped with the model.
 Install the following triton version: