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from modules.text_generation import decode, encode | |
def token_count(prompt): | |
tokens = encode(prompt)[0] | |
return { | |
'length': len(tokens) | |
} | |
def token_encode(input): | |
tokens = encode(input)[0] | |
if tokens.__class__.__name__ in ['Tensor', 'ndarray']: | |
tokens = tokens.tolist() | |
return { | |
'tokens': tokens, | |
'length': len(tokens), | |
} | |
def token_decode(tokens): | |
output = decode(tokens) | |
return { | |
'text': output | |
} | |