- Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
- Argilla
- Good German text embedding model: sentence-transformers/paraphrase-multilingual-mpnet-base-v2
en2de = torch.hub.load('pytorch/fairseq', 'transformer.wmt19.en-de',
checkpoint_file='model1.pt:model2.pt:model3.pt:model4.pt',
tokenizer='moses', bpe='fastbpe')
en2de.eval() # disable dropout