firqaaa
/

setfit-indo-absa-restaurant-polarity

Text Classification

sentence-transformers

generated_from_setfit_trainer

Model card Files Files and versions Community

firqaaa commited on May 2

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39b62c2

•

1 Parent(s): 3e4bdf2

Update README.md

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README.md +2 -2

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@@ -107,8 +107,8 @@ from setfit import AbsaModel
 # Download from the 🤗 Hub
 model = AbsaModel.from_pretrained(
-    "firqaaa/indo-setfit-absa-bert-base-restaurants-aspect",
-    "firqaaa/indo-setfit-absa-bert-base-restaurants-polarity",
 )
 # Run inference
 preds = model("The food was great, but the venue is just way too busy.")

 # Download from the 🤗 Hub
 model = AbsaModel.from_pretrained(
+    "firqaaa/setfit-indo-absa-restaurants-aspect",
+    "firqaaa/setfit-indo-absa-restaurants-polarity",
 )
 # Run inference
 preds = model("The food was great, but the venue is just way too busy.")