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30 lines
1010 B
Python
30 lines
1010 B
Python
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from thinc.api import chain, Maxout, LayerNorm, Softmax, Linear, zero_init
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def build_multi_task_model(n_tags, tok2vec=None, token_vector_width=96):
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model = chain(
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tok2vec,
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Maxout(nO=token_vector_width * 2, nI=token_vector_width, nP=3, dropout=0.0),
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LayerNorm(token_vector_width * 2),
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Softmax(nO=n_tags, nI=token_vector_width * 2),
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)
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return model
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def build_cloze_multi_task_model(vocab, tok2vec):
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output_size = vocab.vectors.data.shape[1]
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output_layer = chain(
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Maxout(
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nO=output_size, nI=tok2vec.get_dim("nO"), nP=3, normalize=True, dropout=0.0
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),
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Linear(nO=output_size, nI=output_size, init_W=zero_init),
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)
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model = chain(tok2vec, output_layer)
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model = build_masked_language_model(vocab, model)
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return model
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def build_masked_language_model(*args, **kwargs):
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# TODO cf https://github.com/explosion/spaCy/blob/2c107f02a4d60bda2440db0aad1a88cbbf4fb52d/spacy/_ml.py#L828
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raise NotImplementedError
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