joshuasundance
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setfit-absa-all-mpnet-base-v2-laptops-polarity

Text Classification

sentence-transformers

generated_from_setfit_trainer

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joshuasundance commited on Jan 29

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77c795f

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1 Parent(s): 1e7a595

Update README.md

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@@ -114,8 +114,9 @@ from setfit import AbsaModel
 # Download from the 🤗 Hub
 model = AbsaModel.from_pretrained(
-    "joshuasundance/setfit-absa-all-mpnet-base-v2-laptops-aspect",
     "joshuasundance/setfit-absa-all-mpnet-base-v2-laptops-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(
+    "joshuasundance/setfit-absa-all-MiniLM-L6-v2-laptops-aspect",
     "joshuasundance/setfit-absa-all-mpnet-base-v2-laptops-polarity",
+    spacy_model="en_core_web_sm",
 )
 # Run inference
 preds = model("The food was great, but the venue is just way too busy.")