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README.md
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@@ -36,3 +36,15 @@ flaubert_classif = FlaubertForSequenceClassification.from_pretrained("nherve/fla
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flaubert_classif.sequence_summary.summary_type = 'mean'
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# Then, train your model
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```
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flaubert_classif.sequence_summary.summary_type = 'mean'
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# Then, train your model
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```
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## References
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If you use FlauBERT-Oral models for your scientific publication, or if you find the resources in this repository useful, please cite the following papers:
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```
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@InProceedings{herve2022flaubertoral,
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author = {Herv\'{e}, Nicolas and Pelloin, Valentin and Favre, Benoit and Dary, Franck and Laurent, Antoine and Meignier, Sylvain and Besacier, Laurent},
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title = {Using ASR-Generated Text for Spoken Language Modeling},
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booktitle = {Proceedings of "Challenges & Perspectives in Creating Large Language Models" ACL 2022 Workshop},
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month = {May},
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year = {2022}
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}
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```
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