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Contribute to sf-wa-326/phrase-bert-topic-model development by creating an account on GitHub.

Pre-trained Nordic models for BERT. Contribute to certainlyio/nordic_bert development by creating an account on GitHub.

from transformers import AutoTokenizer, AutoModel >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") >>> model ...

11.03.2020 · BERT-Base, Chinese : Chinese Simplified and Traditional, 12-layer, 768-hidden, 12-heads, 110M parameters. Each .zip file contains three items: A TensorFlow checkpoint ( bert_model.ckpt) containing the pre-trained weights (which is actually 3 files). A vocab file ( vocab.txt) to map WordPiece to word id.

Fast-Bert is the deep learning library that allows developers and data scientists to train and deploy BERT and XLNet based models for natural language ...

README.md ... Running Google BERT with Multilingual (104 languages) pretrained neural net locally or via Google Colab. Google BERT official page: https://github.

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Getting Started with Google BERT, published by Packt - GitHub - PacktPublishing/Getting-Started-with-Google-BERT: Getting Started with Google BERT, ...

TensorFlow code and pre-trained models for BERT.

10.01.2021 · An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020) - GitHub - yanzhangnlp/IS-BERT: An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020)

Pre-Trained Models for ToD-BERT. Contribute to jasonwu0731/ToD-BERT development by creating an account on GitHub.

Implementation of BERT that could load official pre-trained models for feature extraction and prediction - GitHub - CyberZHG/keras-bert: Implementation of ...

08.01.2022 · class BERT. BERT(args) :: Module. Base class for all neural network modules. Your models should also subclass this class. Modules can also contain other Modules, allowing to nest them in a tree structure.

BERT is a method of pre-training language representations, meaning that we train a general-purpose "language understanding" model on a large text corpus (like ...