Description
Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. autotrain-trec-fine-bert-739422530
is a English model originally trained by ndavid
.
Predicted Entities
lang
, cremat
, speed
, product
, instru
, religion
, desc
, manner
, mount
, dist
, body
, color
, exp
, def
, sport
, perc
, dismed
, other
, ord
, weight
, count
, food
, currency
, veh
, volsize
, techmeth
, money
, ind
, word
, substance
, period
, state
, gr
, code
, plant
, animal
, date
, symbol
, title
, abb
, city
, event
, country
, termeq
, reason
, temp
, letter
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
seq_classifier = BertForSequenceClassification.pretrained("bert_classifier_autotrain_trec_fine_739422530","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_autotrain_trec_fine_739422530","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.by_ndavid").predict("""PUT YOUR STRING HERE""")
Model Information
Model Name: | bert_classifier_autotrain_trec_fine_739422530 |
Compatibility: | Spark NLP 4.1.0+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [class] |
Language: | en |
Size: | 410.2 MB |
Case sensitive: | true |
Max sentence length: | 256 |
References
- https://huggingface.co/ndavid/autotrain-trec-fine-bert-739422530