11 мар. 2024 г. · This model is a distilled version of the BERT base multilingual model. The code for the distillation process can be found here. This model is ...

A Named Entity Recognition model for 10 high resourced languages (Arabic, German, English, Spanish, French, Italian, Latvian, Dutch, Portuguese and Chinese)

The model distilbert base multilingual-cased is a Natural Language Processing (NLP) Model implemented in Transformer library, generally using the Python ...

The Distilbert Base Multilingual Cased model is a distilled version of the BERT base multilingual model, making it smaller, faster, and more efficient.

The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning the ...

28 мая 2024 г. · The distilbert-base-uncased model is a compressed, faster version of BERT that was trained to mimic the behavior of the original BERT base model ...

Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

8 апр. 2024 г. · A model finetuned for sentiment analysis in multiple languages.

20 мая 2021 г. · Description. This model is a distilled version of the BERT base multilingual model. The code for the distillation process can be found here.

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