Description
Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. autotrain-mut_all_text-680820343
is a Spanish model originally trained by gabitoo1234
.
Predicted Entities
523.0
, 232.0
, 192.0
, 526.0
, 262.0
, 422.0
, 330.0
, 131.0
, 539.0
, 424.0
, 342.0
, 234.2
, 513.0
, 423.0
, 234.3
, 380.0
, 240.0
, 159.0
, 521.0
, 325.0
, 234.1
, 429.0
, 234.4
, 236.0
, 212.0
, 142.0
, 449.0
, 234.0
, 370.0
, 519.0
, 512.0
, 252.0
, 690.0
, 222.0
, 529.0
, 151.0
, 313.0
, 239.0
, 361.0
, 511.0
, 410.0
, 149.0
, 390.0
, 321.0
, 193.0
, 199.0
, 611.0
, 231.0
, 314.0
, 319.0
, 490.0
, 362.0
, 191.0
, 129.0
, 235.0
, 350.0
, 251.0
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
sequenceClassifier = BertForSequenceClassification.pretrained("bert_sequence_classifier_autotrain_mut_all_text_680820343","es") \
.setInputCols(["document", "token"]) \
.setOutputCol("class")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, sequenceClassifier])
data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val tokenizer = new Tokenizer()
.setInputCols("document")
.setOutputCol("token")
val sequenceClassifier = BertForSequenceClassification.pretrained("bert_sequence_classifier_autotrain_mut_all_text_680820343","es")
.setInputCols(Array("document", "token"))
.setOutputCol("ner")
val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
val result = pipeline.fit(data).transform(data)
Model Information
Model Name: | bert_sequence_classifier_autotrain_mut_all_text_680820343 |
Compatibility: | Spark NLP 5.1.4+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [ner] |
Language: | es |
Size: | 412.0 MB |
Case sensitive: | true |
Max sentence length: | 128 |
References
References
- https://huggingface.co/gabitoo1234/autotrain-mut_all_text-680820343