RecordedFuture
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Swedish-Sentiment-Fear

Text Classification Transformers PyTorch TensorFlow JAX Swedish bert Inference Endpoints

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FredrikMoller commited on Mar 26, 2021

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c4fd6b1

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1 Parent(s): c6ee0a4

fix to readme

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README.md +4 -4

README.md CHANGED Viewed

@@ -18,8 +18,8 @@ The model can be imported from the transformers library by running
     from transformers import BertForSequenceClassification, BertTokenizerFast
-    tokenizer = BertTokenizerFast.from_pretrained("fredrikmollerRF/Swedish-Sentiment-Fear")
-    classifier_fear= load_classifier("fredrikmollerRF/Swedish-Sentiment-Fear")
 When the model and tokenizer are initialized the model can be used for inference.
@@ -49,8 +49,8 @@ The model be can imported from the transformers library by running
     from transformers import BertForSequenceClassification, BertTokenizerFast
-    tokenizer = BertTokenizerFast.from_pretrained("fredrikmollerRF/Swedish-Sentiment-Violence")
-    classifier_violence = load_classifier("fredrikmollerRF/Swedish-Sentiment-Violence")
 When the model and tokenizer are initialized the model can be used for inference.

     from transformers import BertForSequenceClassification, BertTokenizerFast
+    tokenizer = BertTokenizerFast.from_pretrained("RecordedFuture/Swedish-Sentiment-Fear")
+    classifier_fear= load_classifier("RecordedFuture/Swedish-Sentiment-Fear")
 When the model and tokenizer are initialized the model can be used for inference.
     from transformers import BertForSequenceClassification, BertTokenizerFast
+    tokenizer = BertTokenizerFast.from_pretrained("RecordedFuture/Swedish-Sentiment-Violence")
+    classifier_violence = load_classifier("RecordedFuture/Swedish-Sentiment-Violence")
 When the model and tokenizer are initialized the model can be used for inference.