Description
Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. SEAD-L-6_H-256_A-8-qqp
is a English model originally trained by course5i
.
Predicted Entities
0
, 1
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
seq_classifier = BertForSequenceClassification.pretrained("bert_classifier_sead_l_6_h_256_a_8_qqp","en") \
.setInputCols(["document", "token"]) \
.setOutputCol("class")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, seq_classifier])
data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler()
.setInputCols(Array("text"))
.setOutputCols(Array("document"))
val tokenizer = new Tokenizer()
.setInputCols("document")
.setOutputCol("token")
val seq_classifier = BertForSequenceClassification.pretrained("bert_classifier_sead_l_6_h_256_a_8_qqp","en")
.setInputCols(Array("document", "token"))
.setOutputCol("class")
val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, seq_classifier))
val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("en.classify.bert.glue_qqp.6l_256d_a8a_256d.by_course5i").predict("""PUT YOUR STRING HERE""")
Model Information
Model Name: | bert_classifier_sead_l_6_h_256_a_8_qqp |
Compatibility: | Spark NLP 4.1.0+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [class] |
Language: | en |
Size: | 47.7 MB |
Case sensitive: | true |
Max sentence length: | 256 |
References
- https://huggingface.co/course5i/SEAD-L-6_H-256_A-8-qqp
- https://arxiv.org/abs/1910.01108
- https://arxiv.org/abs/1909.10351
- https://arxiv.org/abs/2002.10957
- https://arxiv.org/abs/1810.04805
- https://arxiv.org/abs/1804.07461
- https://arxiv.org/abs/1905.00537
- https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63