Update README.md with new model card content
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README.md
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@@ -50,7 +50,7 @@ labels = [0, 3]
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# Pretrained classifier.
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classifier = keras_nlp.models.RobertaClassifier.from_preset(
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"
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num_classes=4,
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)
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classifier.fit(x=features, y=labels, batch_size=2)
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# Pretrained classifier without preprocessing.
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classifier = keras_nlp.models.RobertaClassifier.from_preset(
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"
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num_classes=4,
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preprocessor=None,
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)
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@@ -100,7 +100,7 @@ labels = [0, 3]
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# Pretrained classifier.
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classifier = keras_nlp.models.RobertaClassifier.from_preset(
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-
"
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num_classes=4,
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)
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classifier.fit(x=features, y=labels, batch_size=2)
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@@ -128,7 +128,7 @@ labels = [0, 3]
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# Pretrained classifier without preprocessing.
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classifier = keras_nlp.models.RobertaClassifier.from_preset(
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-
"
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num_classes=4,
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preprocessor=None,
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)
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# Pretrained classifier.
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classifier = keras_nlp.models.RobertaClassifier.from_preset(
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"roberta_base_en",
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num_classes=4,
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)
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classifier.fit(x=features, y=labels, batch_size=2)
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# Pretrained classifier without preprocessing.
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classifier = keras_nlp.models.RobertaClassifier.from_preset(
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+
"roberta_base_en",
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num_classes=4,
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preprocessor=None,
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)
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# Pretrained classifier.
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classifier = keras_nlp.models.RobertaClassifier.from_preset(
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+
"roberta_base_en",
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num_classes=4,
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)
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classifier.fit(x=features, y=labels, batch_size=2)
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# Pretrained classifier without preprocessing.
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classifier = keras_nlp.models.RobertaClassifier.from_preset(
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+
"roberta_base_en",
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num_classes=4,
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preprocessor=None,
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)
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