Multilingual Legal NLP Models
33 repos
Transformer-based language models fine-tuned for legal document processing across multiple European languages, including Hungarian, Slovak, Finnish, Slovenian, Polish, and Maltese. These models are built on RoBERTa architecture and distributed via Hugging Face's model hub, leveraging common tools like TensorBoard for training monitoring and safetensors for efficient model serialization. The cluster represents a focused effort to adapt pre-trained transformers for domain-specific (legal) and language-specific tasks in low-resource and mid-resource legal NLP contexts.
transformers ·307
endpoints_compatible ·307
generated_from_trainer ·301
tensorboard ·297
pytorch ·285
safetensors ·278
audio-classification ·251
wav2vec2 ·251
roberta ·31
fill-mask ·31
