Description
Pretrained Bert Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. chinese-macbert-base
is a Chinese model orginally trained by hfl
.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
embeddings = BertEmbeddings.pretrained("bert_embeddings_chinese_macbert_base","zh") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])
data = spark.createDataFrame([["I love Spark NLP"]]).toDF("text")
result = pipeline.fit(data).transform(data)
Model Information
Model Name: | bert_embeddings_chinese_macbert_base |
Compatibility: | Spark NLP 3.4.2+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [sentence, token] |
Output Labels: | [bert] |
Language: | zh |
Size: | 384.0 MB |
Case sensitive: | true |
References
- https://huggingface.co/hfl/chinese-macbert-base
- https://github.com/ymcui/MacBERT/blob/master/LICENSE
- https://2020.emnlp.org
- https://arxiv.org/abs/2004.13922
- https://arxiv.org/abs/2004.13922
- https://github.com/ymcui/Chinese-BERT-wwm
- https://github.com/ymcui/Chinese-ELECTRA
- https://github.com/ymcui/Chinese-XLNet
- https://github.com/airaria/TextBrewer
- https://github.com/ymcui/HFL-Anthology
- https://github.com/chatopera/Synonyms
- https://arxiv.org/abs/2004.13922
- https://arxiv.org/abs/2004.13922