Description
Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. reactiongif-roberta
is a English model originally trained by julien-c
.
Predicted Entities
awww
, agree
, scared
, oh_snap
, hug
, happy_dance
, sorry
, oops
, yes
, slow_clap
, want
, please
, good_luck
, sigh
, thank_you
, dance
, high_five
, you_got_this
, yawn
, thumbs_up
, fist_bump
, idk
, shrug
, ok
, yolo
, smh
, shocked
, facepalm
, kiss
, no
, deal_with_it
, hearts
, applause
, popcorn
, thumbs_down
, do_not_want
, seriously
, omg
, eye_roll
, wink
, win
, mic_drop
, eww
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
seq_classifier = RoBertaForSequenceClassification.pretrained("roberta_classifier_reactiongif","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 = RoBertaForSequenceClassification.pretrained("roberta_classifier_reactiongif","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.roberta.by_julien_c").predict("""PUT YOUR STRING HERE""")
Model Information
Model Name: | roberta_classifier_reactiongif |
Compatibility: | Spark NLP 4.1.0+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [class] |
Language: | en |
Size: | 309.1 MB |
Case sensitive: | true |
Max sentence length: | 256 |
References
- https://huggingface.co/julien-c/reactiongif-roberta