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@@ -26,7 +26,7 @@ Evaluation by class and language:
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  | politics | political science | French | 0,979 | 0,959 | 0,969 | 148 |
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  | multi | other scientific domains | French | 0,991 | 0,995 | 0,993 | 643 |
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- Based on [BERT multilingual base model (uncased)](https://link.springer.com/article/10.1007/s11192-022-04602-4)
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  This model is a multilingual version of our [SSciBERT_politics](https://huggingface.co/kalawinka/SSciBERT_politics).
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  The model was fine-tuned using a dataset of 14,178 abstracts from scientific articles retrieved from the [BASE](https://www.base-search.net/)
@@ -37,7 +37,7 @@ Data from several major political science journals in the POLLUX dataset were ma
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  # Usage
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- Requires: [transformers](https://huggingface.co/google-bert/bert-base-multilingual-uncased) (pip install transformers)
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
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  | politics | political science | French | 0,979 | 0,959 | 0,969 | 148 |
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  | multi | other scientific domains | French | 0,991 | 0,995 | 0,993 | 643 |
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+ Based on [BERT multilingual base model (uncased)](http://arxiv.org/abs/1810.04805)
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  This model is a multilingual version of our [SSciBERT_politics](https://huggingface.co/kalawinka/SSciBERT_politics).
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  The model was fine-tuned using a dataset of 14,178 abstracts from scientific articles retrieved from the [BASE](https://www.base-search.net/)
 
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  # Usage
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+ Requires: [transformers](https://huggingface.co/docs/transformers/index) (pip install transformers)
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification