Abstract: Numerous text classification tasks inherently possess hierarchical structures among classes, often overlooked in traditional classification paradigms. This study introduces novel approaches ...
The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.
Even with a federal indictment hanging over her, claiming she had been a threat to law enforcement, Marimar Martinez was confident she could eventually prove her innocence. “I know the truth,” ...
Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.
At this time, we support 10 models, all of which can be used out-of-the-box on CPU and can be fine-tuned on CPU. If you don't want to self-host, you can also use all of our models through the Tanaos ...
ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
NEW YORK, July 25 (Reuters Breakingviews) - Buyout shops learned some hard lessons this week. The initial public offerings for educational publisher McGraw Hill (MH.N), opens new tab and market ...
In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
The popular hip Gregorys Coffee chain has routinely discriminated against black workers and protected male employees accused of sexual harassment, according to a bombshell new lawsuit. Gregorys’ owner ...
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