fairseq2 and seq2seq.pytorch
About fairseq2
facebookresearch/fairseq2
FAIR Sequence Modeling Toolkit 2
This toolkit helps AI researchers train and fine-tune custom AI models for various content generation tasks, such as creating new text, speech, or even translating between languages. You feed it large datasets of text, audio, or other sequences, and it outputs a trained AI model ready for deployment. This is for researchers specializing in natural language processing, speech technology, or other generative AI fields.
About seq2seq.pytorch
eladhoffer/seq2seq.pytorch
Sequence-to-Sequence learning using PyTorch
This project helps machine learning engineers and researchers build advanced language and image processing systems. It allows you to train models for tasks like translating text between languages, generating descriptions for images, or creating numerical representations of sentences. You provide text or image datasets, and the system produces trained models capable of these sequence-to-sequence transformations.
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