google

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gemma-7b-it

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Hi,
anyone has an idea on that?
TypeError: GemmaTokenizerFast(name_or_path='.cache\huggingface\hub\models--google--gemma-7b-it\snapshots\eaed531b84d7262e26987aec35e3faf03af8f2db', vocab_size=256000, model_max_length=1000000000000000019884624838656, is_fast=True, padding_side='left', truncation_side='right', special_tokens={'bos_token': '', 'eos_token': '', 'unk_token': '', 'pad_token': '', 'additional_special_tokens': ['', '']}, clean_up_tokenization_spaces=False), added_tokens_decoder={
0: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
1: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
2: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
3: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
106: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
107: AddedToken("", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
} argument after ** must be a mapping, not str