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@ -360,7 +360,9 @@ def test_pretrain_default_vectors():
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create_pretrain_vectors(1, 1, "cosine")(nlp.vocab, nlp.get_pipe("tok2vec").model)
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create_pretrain_vectors(1, 1, "cosine")(nlp.vocab, nlp.get_pipe("tok2vec").model)
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# floret vectors are supported
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# floret vectors are supported
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nlp.vocab.vectors = Vectors(data=get_current_ops().xp.zeros((10, 10)), mode="floret", hash_count=1)
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nlp.vocab.vectors = Vectors(
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data=get_current_ops().xp.zeros((10, 10)), mode="floret", hash_count=1
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)
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create_pretrain_vectors(1, 1, "cosine")(nlp.vocab, nlp.get_pipe("tok2vec").model)
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create_pretrain_vectors(1, 1, "cosine")(nlp.vocab, nlp.get_pipe("tok2vec").model)
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# error for no vectors
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# error for no vectors
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