s2t-medium-mustc-multilingual-st is a Speech to Text Transformer (S2T) model trained for end-to-end Multilingual Speech Translation (ST). ... <看更多>

pip install git+https://github.com/huggingface/transformers.git ... bert-base-multilingual-uncased (Masked language modeling + Next sentence prediction, ... ... <看更多>

GitHub - huggingface/transformers: Transformers: State-of-the-art Machine ... Multilingual BERT into DistilmBERT and a German version of DistilBERT. ... <看更多>

I am trying to finetune multilingual T5 model with Japanese dataset. ... How can I perform similar thing on Huggingface models? multilingual ... ... <看更多>

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Multilingual CLIP with Huggingface + PyTorch Lightning ⚡. Training OpenAI's CLIP on google colab. Mar 7, 2021 • Sachin Abeywardana • 11 min read. ... <看更多>

We are now open-sourcing our work, making LASER the first successful exploration of massively multilingual sentence representations to be ... ... <看更多>

But I am a bit confused because when I look at the base model: https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384. it clearly states:. ... <看更多>