
This model is trained on a dataset containing Taiwan legislators' transcripts for the multi-label classification task.  
We apply longformer pre-trained model for the task as the length of the transcripts is around 1000.
{"language": ["zh"], "license": "mit", "tags": ["politics", "legislator"]}
transformers pytorch safetensors longformer text-classification politics legislator zh license:mit autotrain_compatible endpoints_compatible has_space region:us