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Awesome GitHub RepositoriesMasked Language Modeling
Training techniques that involve predicting randomly hidden tokens within an input sequence.
Distinguishing note: Specific to the pre-training objective of masking tokens, distinct from general model training.
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Awesome Masked Language Modeling GitHub Repositories
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- google-research/bert
google-research/bert
39,869View on GitHubThis project is a transformer-based language model and natural language processing toolkit designed to generate deep contextual representations of text. By utilizing a transformer-based encoder architecture, the system processes input sequences through stacked self-attention layers to capture the semantic meaning of tokens based on their surrounding sentence structure. The model distinguishes itself through bidirectional contextual processing, which analyzes text in both directions simultaneously, and masked language modeling, which trains the system by predicting hidden tokens within a seque
Trains the system by randomly hiding tokens in the input and forcing the model to predict them based on surrounding context.
Pythongooglenatural-language-processingnatural-language-understanding
