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import sentencepiece as spm
spm.SentencePieceTrainer.train(input="/researchdisk/training_dataset_sentences/train.txt", model_prefix="tokenizer",
model_type="bpe", split_digits=True, vocab_size=64256, byte_fallback=True,
normalization_rule_name="nfkc",
user_defined_symbols=["[INST]", "[/INST]", "<<SYS>>", "<</SYS>>"],
required_chars="abcdefghijklmnopqrstuvwxyzåäöABCDEFGHIJKLMNOPQRSTUVWXYZÅÄÖ",
train_extremely_large_corpus=True,
input_sentence_size=500000000, shuffle_input_sentence=True,
num_threads=96) |