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z-dickson
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multilingual_sentiment_newspaper_headlines

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
Model card Files Community
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@@ -29,7 +29,8 @@ It achieves the following results on the evaluation set:
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  ```python
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- from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline
 
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  tokenizer = AutoTokenizer.from_pretrained("z-dickson/multilingual_sentiment_newspaper_headlines")
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  m1 = TFAutoModelForSequenceClassification.from_pretrained("z-dickson/multilingual_sentiment_newspaper_headlines")
 
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  ```python
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+ import torch
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline,TFAutoModelForSequenceClassification, AutoTokenizer
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  tokenizer = AutoTokenizer.from_pretrained("z-dickson/multilingual_sentiment_newspaper_headlines")
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  m1 = TFAutoModelForSequenceClassification.from_pretrained("z-dickson/multilingual_sentiment_newspaper_headlines")