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README.md

@@ -29,15 +29,25 @@ All models in the series achieve **GLUE benchmark scores that surpass standard B
 
 ## How to Get Started with the Model
 
+The model is compatible with the `transformers` library starting from v4.48.0:
+
+```sh
+pip install -U transformers>=4.48.0
+pip install flash-attn
+```
+
+Here is an example code of using the model:
+
 ```python
 from transformers import AutoTokenizer, AutoModel
+device = 'cuda:0'
 
 tokenizer = AutoTokenizer.from_pretrained("manelalab/chrono-bert-v1-19991231")
-model = AutoModel.from_pretrained("manelalab/chrono-bert-v1-19991231")
+model = AutoModel.from_pretrained("manelalab/chrono-bert-v1-19991231").to(device)
 
 text = "You've gotta be very careful not to mess with the space-time continuum. -- Dr. Brown, Back to the Future"
 
-inputs = tokenizer(text, return_tensors="pt")
+inputs = tokenizer(text, return_tensors="pt").to(device)
 outputs = model(**inputs)
 ```