When we are tokenizing the input like this. If the text token number exceeds set max_lenth, the tokenizer will truncate from the tail end to limit the number of tokens to the max_length.
tokenizer = AutoTokenizer.from_pretrained('MODEL_PATH')
inputs = tokenizer(text, max_length=max_length, truncation=True, 
                               padding=True, return_tensors='pt')

Is there a way to change the behavior and truncate from the head end?
For example if text = ['cat', 'dog', 'human'] and max_length=2, currently the last word 'human' will be dropped, is it possible to add a truncation_end parameter to AutoTokenizer, and when truncation_end='head' drops 'cat' from the head of the sentence?