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Update README.md (#7429)
Add links to models fine-tuned on a downstream task
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@ -59,9 +59,21 @@ predictions = torch.round((torch.sign(discriminator_outputs[0]) + 1) / 2)
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el rapido zorro marro ##n amar sobre el perro pere ##zoso 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0[None, None, None, None, None, None, None, None, None, None, None, None, None
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el rapido zorro marro ##n amar sobre el perro pere ##zoso 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0[None, None, None, None, None, None, None, None, None, None, None, None, None
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'''
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'''
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```
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```
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As you can see there are **1s** in the places where the model detected a fake token. So, it works! 🎉
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As you can see there are **1s** in the places where the model detected a fake token. So, it works! 🎉
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### Some models fine-tuned on a downstream task 🛠️
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[Question Answering](https://huggingface.co/mrm8488/electricidad-base-finetuned-squadv1-es)
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[POS](https://huggingface.co/mrm8488/electricidad-base-finetuned-pos)
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[NER](https://huggingface.co/mrm8488/electricidad-base-finetuned-ner)
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[Paraphrase Identification](https://huggingface.co/mrm8488/RuPERTa-base-finetuned-pawsx-es)
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## Acknowledgments
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## Acknowledgments
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I thank [🤗/transformers team](https://github.com/huggingface/transformers) for allowing me to train the model (specially to [Julien Chaumond](https://twitter.com/julien_c)).
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I thank [🤗/transformers team](https://github.com/huggingface/transformers) for allowing me to train the model (specially to [Julien Chaumond](https://twitter.com/julien_c)).
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