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from transformers import LlamaTokenizer
class LlamaTokenizerWrapper(LlamaTokenizer):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.im_start = "<image>"
self.im_end = "</image>"
self.ref_start = "<ref>"
self.ref_end = "</ref>"
self.box_start = "<box>"
self.box_end = "</box>"
self.quad_start = "<quad>"
self.quad_end = "</quad>"
self.point_start = "<point>"
self.point_end = "</point>"
self.slice_start = "<slice>"
self.slice_end = "</slice>"
@property
def eos_id(self):
return self.sp_model.eos_id()
@property
def bos_id(self):
return self.sp_model.bos_id()
@property
def unk_id(self):
return self.sp_model.unk_id()
@property
def im_start_id(self):
return self._convert_token_to_id(self.im_start)
@property
def im_end_id(self):
return self._convert_token_to_id(self.im_end) |