| #!/bin/env python | |
| """ | |
| According to model, | |
| vocab_size: 32128 | |
| But it actually caps out at 32099 | |
| """ | |
| from transformers import T5Tokenizer,T5EncoderModel | |
| import torch | |
| import charade | |
| T="mcmonkey/google_t5-v1_1-xxl_encoderonly" | |
| tokenizer = T5Tokenizer.from_pretrained(T) | |
| startword= tokenizer.convert_ids_to_tokens(3) | |
| #print (startword) | |
| # id should be a numeral | |
| def print_token_from_id(id): | |
| decoded_tokens = tokenizer.convert_ids_to_tokens(id) | |
| print(decoded_tokens+" : " + str(id)) | |
| # print if it has the marker indicating it is a standalone word, | |
| # not just a building block | |
| def print_if_word(id): | |
| decoded_tokens = tokenizer.convert_ids_to_tokens(id) | |
| if decoded_tokens.startswith(startword): | |
| print(decoded_tokens[1:] +" : " + str(id)) | |
| # standalone word, AND doesnt have any foreign non-ascii7 chars | |
| def print_if_asciiword(id): | |
| decoded_tokens = tokenizer.convert_ids_to_tokens(id) | |
| if decoded_tokens.startswith(startword): | |
| aword=decoded_tokens[1:] | |
| if len(aword) <1: | |
| return | |
| estr=str(aword.encode()) | |
| if '\\x' in estr: | |
| return | |
| print(aword +" : " , id) | |
| for id in range(4,32099): | |
| #print_token_from_id(id) | |
| #print_if_word(id) | |
| print_if_asciiword(id) | |