pytorch-transformers-classification

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

natural-language-processing

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312 Stars

96 Forks

312 Watchers

Jupyter Notebook Language

apache-2.0 License

100 SrcLog Score

Cost to Build

$935

Market Value

$2.0K

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Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the ThilinaRajapakse/pytorch-transformers-classification GitHub project? Description: "Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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