airesearch/bert-base-multilingual-cased-finetuned
Airesearch/bert-base-multilingual-cased-finetuned is machine learning model.
About airesearch/bert-base-multilingual-cased-finetuned
We use the pretrained cross-lingual BERT model (mBERT) as proposed by [Devlin et al., 2018]. We download the model via HuggingFace's Model Hub (https://huggingface.co/bert-base-multilignual-cased) The script and documentation can be found at this repository . You can use the finetuned models for multiclass/multilabel text classification and token classification task (scale is ranging from 1 to 5) The detail of the detail is described in this page . The example notebook demonstrating how to use the model for inference can be shown at this Colab notebook . The model was downloaded via Hug,