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BERT Transformers – How Do They Work? | Exxact Blog
[https://www.exxactcorp.com/blog/Deep-Learning/how-do-bert-transformers-work] - - public:mzimmerm
Excellent document about BERT transformers / models and their parameters: - L=number of layers. - H=size of the hidden layer = number of vectors for each word in the sentence. - A = Number of self-attention heads - Total parameters.
How to train a new language model from scratch using Transformers and Tokenizers
[https://huggingface.co/blog/how-to-train] - - public:mzimmerm
Describes how to train a new language (desperanto) model.