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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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+
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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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+ ```