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from whisper.tokenizer import get_tokenizer | |
def test_tokenizer(): | |
gpt2_tokenizer = get_tokenizer(multilingual=False) | |
multilingual_tokenizer = get_tokenizer(multilingual=True) | |
text = "λ€λμ₯ ν μ³λ°ν΄μ νκ³ ν" | |
gpt2_tokens = gpt2_tokenizer.encode(text) | |
multilingual_tokens = multilingual_tokenizer.encode(text) | |
assert gpt2_tokenizer.decode(gpt2_tokens) == text | |
assert multilingual_tokenizer.decode(multilingual_tokens) == text | |
assert len(gpt2_tokens) > len(multilingual_tokens) | |
def test_split_on_unicode(): | |
multilingual_tokenizer = get_tokenizer(multilingual=True) | |
tokens = [8404, 871, 287, 6, 246, 526, 3210, 20378] | |
words, word_tokens = multilingual_tokenizer.split_tokens_on_unicode(tokens) | |
assert words == [" elle", " est", " l", "'", "οΏ½", "Γ©", "rit", "oire"] | |
assert word_tokens == [[8404], [871], [287], [6], [246], [526], [3210], [20378]] | |