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@@ -5,14 +5,14 @@ datasets:
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  language:
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  - en
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  base_model:
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- - FacebookAI/xlm-roberta-base
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  pipeline_tag: text-classification
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  ---
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- This model is a [token-level/sentence-level/paragraph-level] classifier that was trained for [specific task, e.g., sentiment analysis, named entity recognition, etc.]. The model is based on [model architecture, e.g., BERT, RoBERTa, etc.] and has been fine-tuned on [mention the dataset] for [number of epochs or other training details].
 
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- It achieves state-of-the-art performance on [mention dataset or task] and is specifically designed for [specific domain or industry, if applicable].
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  ---
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  language:
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  - en
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  base_model:
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+ - mediabiasgroup/magpie-pt-xlm
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  pipeline_tag: text-classification
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  ---
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+ This model is a version of [mediabiasgrouup/magpie-pt-xlm](https://huggingface.co/mediabiasgroup/magpie-pt-xlm), fine-tuned on BABE dataset for sentence-level media bias binary classification.
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+ The model is based on [model architecture, e.g., BERT, RoBERTa, etc.] and has been fine-tuned on [mention the dataset] for [number of epochs or other training details].
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  ---
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