Multilingual Legal RoBERTa Models
25 repos
Pre-trained RoBERTa transformer models fine-tuned on legal text corpora across diverse languages including Polish, Maltese, Hungarian, Slovak, Slovenian, Latvian, and others. These repositories represent specialized language models built with the Hugging Face transformers framework, designed for legal domain NLP tasks like document classification and named entity recognition. The cluster demonstrates a systematic effort to extend legal AI capabilities beyond English to support multilingual legal document understanding and analysis.
transformers ·21
fill-mask ·21
pytorch ·21
roberta ·21
endpoints_compatible ·21
tensorboard ·20
generated_from_trainer ·14
legal ·5
safetensors ·4
multilingual ·1
