Codeprocastinator/optimized-tinyllama-covalent

1import time2import argparse3 4from transformers import AutoTokenizer5 6parser = argparse.ArgumentParser()7parser.add_argument("dir_tokenizer", help="directory containing 'tokenizer.model' file")8parser.add_argument("--fname-tok",   help="path to a text file to tokenize", required=True)9args = parser.parse_args()10 11dir_tokenizer = args.dir_tokenizer12fname_tok = args.fname_tok13 14tokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)15 16print('tokenizing file: ', fname_tok) # noqa: NP10017fname_out = fname_tok + '.tok'18with open(fname_tok, 'r', encoding='utf-8') as f:19    lines = f.readlines()20    s = ''.join(lines)21    t_start = time.time()22    res = tokenizer.encode(s, add_special_tokens=False)23    t_end = time.time()24    print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)') # noqa: NP10025    with open(fname_out, 'w', encoding='utf-8') as f:26        for x in res:27            # LLaMA v3 for some reason strips the space for these tokens (and others)28            # if x == 662:29            #     f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')30            # elif x == 1174:31            #     f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')32            # elif x == 2564:33            #     f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')34            # elif x == 758:35            #     f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')36            # elif x == 949:37            #     f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')38            # elif x == 5354:39            #     f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n')40            # else:41            #     f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n')42            # f.write(str(x) + ' \'' + tokenizer.decode(x).strip() + '\'\n')43            f.write(str(x) + '\n')44    print('len(res): ', len(res)) # noqa: NP10045    print('len(lines): ', len(lines)) # noqa: NP10046print('results written to: ', fname_out) # noqa: NP10047