Update README.md

README.md

@@ -90,6 +90,7 @@ encoded_input = tokenizer(tweet, conspiracy_theory, return_tensors="pt")
 logits = model(encoded_input.input_ids, encoded_input.attention_mask).logits
 support_likelihood = logits.softmax(dim=1)[0].tolist()[0]  # 0.93198
 ```
+Loading the model shouldn't take more than 10 minutes depending on the Internet connection.
 
 ## Training Details
 
@@ -99,7 +100,11 @@ The model was finetuned with [webimmunization/COVID-19-CT-tweets-classification
 
 ### Training Procedure 
 
-The adapter was trained for 5 epochs with a batch size of 16. 
+The adapter was trained for 5 epochs with a batch size of 16.
+
+### System requirements 
+
+We used Python 3.10, PyTorch 2.0.1, and transformers 4.27.0.
 
 #### Preprocessing