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mdeberta-v3-base-subjectivity-sentiment-multilingual

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subjectivity-detection

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MatteoFasulo commited on Jul 18

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f9bc575

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1 Parent(s): 2816cd2

Update README.md

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@@ -128,7 +128,7 @@ config = DebertaV2Config.from_pretrained(
 model = CustomModel(config=config, sentiment_dim=3, num_labels=2).from_pretrained(model_name)
 def classify_subjectivity(text: str):
-    # A) get full sentiment distribution
     dist = sent_pipe(text)[0]
     pos = next(d["score"] for d in dist if d["label"] == "positive")
     neu = next(d["score"] for d in dist if d["label"] == "neutral")

 model = CustomModel(config=config, sentiment_dim=3, num_labels=2).from_pretrained(model_name)
 def classify_subjectivity(text: str):
+    # get full sentiment distribution
     dist = sent_pipe(text)[0]
     pos = next(d["score"] for d in dist if d["label"] == "positive")
     neu = next(d["score"] for d in dist if d["label"] == "neutral")