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fastNLP/reproduction/Star_transformer
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README.md

Star-Transformer

paper: Star-Transformer

Performance (still in progress)

任务 数据集 SOTA 模型表现
Pos Tagging CTB 9.0 - ACC 92.31
Pos Tagging CONLL 2012 - ACC 96.51
Named Entity Recognition CONLL 2012 - F1 85.66
Text Classification SST - 49.18
Natural Language Inference SNLI - 83.76

Usage

# for sequence labeling(ner, pos tagging, etc)
from fastNLP.models.star_transformer import STSeqLabel
model = STSeqLabel(
    vocab_size=10000, num_cls=50,
    emb_dim=300)


# for sequence classification
from fastNLP.models.star_transformer import STSeqCls
model = STSeqCls(
    vocab_size=10000, num_cls=50,
    emb_dim=300)


# for natural language inference
from fastNLP.models.star_transformer import STNLICls
model = STNLICls(
    vocab_size=10000, num_cls=50,
    emb_dim=300)
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一款轻量级的自然语言处理（NLP）工具包，目标是减少用户项目中的工程型代码，例如数据处理循环、训练循环、多卡运行等

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