Description
Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. autonlp-mono-625317956
is a English model originally trained by Chijioke
.
Predicted Entities
food
, stamp_duties_charges
, investment
, bank_charges
, loan_repayment
, mature_loan_instalment
, atm_withdrawal_charges
, phone_and_internet
, card_request_commission
, health
, salary
, atm_withdrawal
, others
, transfer
, bills_or_fees
, miscellaneous
, vat
, offline_transactions
, reversals
, transportation
, online_transactions
, cash_deposit
, Rent
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
sequenceClassifier_loaded = DistilBertForSequenceClassification.pretrained("distilbert_sequence_classifier_autonlp_mono_625317956","en") \
.setInputCols(["document", "token"]) \
.setOutputCol("class")
pipeline = Pipeline(stages=[documentAssembler, tokenizer,sequenceClassifier_loaded])
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(Array("document"))
.setOutputCol("token")
val sequenceClassifier_loaded = DistilBertForSequenceClassification.pretrained("distilbert_sequence_classifier_autonlp_mono_625317956","en")
.setInputCols(Array("document", "token"))
.setOutputCol("class")
val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer,sequenceClassifier_loaded))
val data = Seq("PUT YOUR STRING HERE").toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("en.classify.distil_bert.by_chijioke").predict("""PUT YOUR STRING HERE""")
Model Information
Model Name: | distilbert_sequence_classifier_autonlp_mono_625317956 |
Compatibility: | Spark NLP 4.1.0+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [ner] |
Language: | en |
Size: | 249.8 MB |
Case sensitive: | true |
Max sentence length: | 128 |
References
- https://huggingface.co/Chijioke/autonlp-mono-625317956