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Hi, it's a amazing job. We can get very accurate description from the demo. However , when I run outputs = self.model.chat(self.prompt, [image], max_new_tokens=200)
print(self.tokenizer.decode(outputs[0]))
the error occurred, text = self._tokenizer.decode(token_ids, skip_special_tokens=skip_special_tokens)
OverflowError: out of range integral type conversion attempted. And the output is [1, 3148, 1001, 29901, 450, 1967, 29901, 29871, -200, 29871, 8449, 5930, 297, 445, 1967, 29901, 10884, 29899, 2204, 332, 29892, 17251, 29892, 447, 911, 29892, 16847, 29892, 470, 4482, 3578, 29973, 319, 1799, 9047, 13566, 29901, 17511, 3578, 2].
how can I get the docede output , thank U.
The text was updated successfully, but these errors were encountered:
Hi, it's a amazing job. We can get very accurate description from the demo. However , when I run outputs = self.model.chat(self.prompt, [image], max_new_tokens=200)
print(self.tokenizer.decode(outputs[0]))
the error occurred, text = self._tokenizer.decode(token_ids, skip_special_tokens=skip_special_tokens)
OverflowError: out of range integral type conversion attempted. And the output is [1, 3148, 1001, 29901, 450, 1967, 29901, 29871, -200, 29871, 8449, 5930, 297, 445, 1967, 29901, 10884, 29899, 2204, 332, 29892, 17251, 29892, 447, 911, 29892, 16847, 29892, 470, 4482, 3578, 29973, 319, 1799, 9047, 13566, 29901, 17511, 3578, 2].
how can I get the docede output , thank U.
The text was updated successfully, but these errors were encountered: