chinese xlnet

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Quick description about chinese xlnet:

Chinese-XLNet is a Chinese language pre-trained model based on the XLNet architecture, providing an advanced foundation for natural language processing tasks in Mandarin and other Chinese dialects. Unlike traditional masked language modeling, XLNet uses a permutation language modeling objective that captures bidirectional context more effectively by training over all possible token orderings, yielding richer contextual representations. This model is trained on large-scale Chinese text datasets to learn linguistic patterns, long-range dependencies, and semantic nuance typical of Chinese writing, making it useful for tasks like text classification, question answering, named entity recognition, and language generation. Chinese-XLNet offers an alternative to models like BERT by emphasizing autoregressive and permutation-based learning, which can lead to performance improvements on certain benchmarks and tasks.

Features:

• Chinese pre-trained XLNet language model
• Permutation language modeling for rich context
• Suitable for NLP tasks like classification and QA
• Trained on large Chinese corpora
• Fine-tunable in common ML frameworks
• Apache-2.0 open-source license

Programming Language: Python.
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