![token indices sequence length is longer than the specified maximum sequence length · Issue #1791 · huggingface/transformers · GitHub token indices sequence length is longer than the specified maximum sequence length · Issue #1791 · huggingface/transformers · GitHub](https://user-images.githubusercontent.com/33107884/68766200-671c8600-0659-11ea-9d5a-0d496176aabe.png)
token indices sequence length is longer than the specified maximum sequence length · Issue #1791 · huggingface/transformers · GitHub
![Hugging Face on Twitter: "🛠The tokenizers now have a simple and backward compatible API with simple access to the most common use-cases: - no truncation and no padding - truncating to the Hugging Face on Twitter: "🛠The tokenizers now have a simple and backward compatible API with simple access to the most common use-cases: - no truncation and no padding - truncating to the](https://pbs.twimg.com/media/EbxIIDAUwAM5zv6.jpg:large)
Hugging Face on Twitter: "🛠The tokenizers now have a simple and backward compatible API with simple access to the most common use-cases: - no truncation and no padding - truncating to the
![Frontiers | DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method Frontiers | DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method](https://www.frontiersin.org/files/Articles/859188/fgene-13-859188-HTML/image_m/fgene-13-859188-g001.jpg)
Frontiers | DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method
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Multi-label Text Classification using BERT – The Mighty Transformer | by Kaushal Trivedi | HuggingFace | Medium
![Results of BERT4TC-S with different sequence lengths on AGnews and DBPedia. | Download Scientific Diagram Results of BERT4TC-S with different sequence lengths on AGnews and DBPedia. | Download Scientific Diagram](https://www.researchgate.net/publication/337510909/figure/tbl5/AS:829303268855809@1574732715121/Results-of-BERT4TC-S-with-different-sequence-lengths-on-AGnews-and-DBPedia.png)
Results of BERT4TC-S with different sequence lengths on AGnews and DBPedia. | Download Scientific Diagram
![Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT) | BMC Medical Informatics and Decision Making | Full Text Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT) | BMC Medical Informatics and Decision Making | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12911-022-01946-y/MediaObjects/12911_2022_1946_Fig10_HTML.png)