@@ -240,4 +240,7 @@ def load_model_and_tokenizer(
|
||||
trainable_params, all_param, 100 * trainable_params / all_param
|
||||
))
|
||||
|
||||
if not is_trainable:
|
||||
logger.info("This IS expected that the trainable params is 0 if you are using model for inference only.")
|
||||
|
||||
return model, tokenizer
|
||||
|
||||
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