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@@ -47,7 +47,7 @@ dataset = hg_data.map(tokenize_dataset, batched=True, remove_columns=hg_data.col
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  #### Inference using the Trainer class
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  ```python
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  model = AutoModelForSequenceClassification.from_pretrained('poltextlab/xlm-roberta-large-social-cap-v3',
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- num_labels=num_labels,
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  problem_type="multi_label_classification",
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  ignore_mismatched_sizes=True
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  )
 
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  #### Inference using the Trainer class
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  ```python
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  model = AutoModelForSequenceClassification.from_pretrained('poltextlab/xlm-roberta-large-social-cap-v3',
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+ num_labels=22,
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  problem_type="multi_label_classification",
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  ignore_mismatched_sizes=True
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  )