This is stars and forks stats for /facebookresearch/fairseq repository. As of 19 Apr, 2024 this repository has 27648 stars and 6164 forks.
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers: List of implemented papers Convolutional Neural Networks (CNN) Language Modeling with Gated Convolutional Networks (Dauphin et al., 2017) Convolutional Sequence to Sequence Learning (Gehring et al., 2017) Classical Structured Prediction Losses...
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers: List of implemented papers Convolutional Neural Networks (CNN) Language Modeling with Gated Convolutional Networks (Dauphin et al., 2017) Convolutional Sequence to Sequence Learning (Gehring et al., 2017) Classical Structured Prediction Losses...
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