Description
Pretrained Bert Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. mengzi-oscar-base-caption
is a Chinese model orginally trained by Langboat
.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
embeddings = BertEmbeddings.pretrained("bert_embeddings_mengzi_oscar_base_caption","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_mengzi_oscar_base_caption |
Compatibility: | Spark NLP 3.4.2+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [sentence, token] |
Output Labels: | [bert] |
Language: | zh |
Size: | 383.6 MB |
Case sensitive: | true |
References
- https://huggingface.co/Langboat/mengzi-oscar-base-caption
- https://arxiv.org/abs/2110.06696
- https://github.com/Langboat/Mengzi/blob/main/Mengzi-Oscar.md
- https://github.com/microsoft/Oscar/blob/master/INSTALL.md
- https://github.com/Langboat/Mengzi/blob/main/Mengzi-Oscar.md