accuracy = probe.score(X_test, y_test) print(f"Can RoBERTa predict Numeral Classifiers? accuracy:.2f")

: While strong for general tasks, it may have minor limitations in extreme multilingual depth compared to larger, uncompressed variants. Implementation Guide FacebookAI/roberta-base - Hugging Face

The string wals roberta sets 136zip is in public NLP archives. Instead, it most likely represents:

: A popular robustly optimized BERT pretraining approach used in machine learning for NLP tasks.