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Spatial distribution of linguistic traits across thousands of global dialects. 2. RoBERTa (Robustly Optimized BERT Approach)

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: The primary source for downloading pre-trained RoBERTa models, including XLM-RoBERTa for multilingual tasks.

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training_args = TrainingArguments( output_dir="./results", learning_rate=2e-5, per_device_train_batch_size=16, num_train_epochs=3, evaluation_strategy="epoch", ) Its powerful features, wide range of applications, and

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: Injecting typological knowledge into RoBERTa through:

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tokenizer = AutoTokenizer.from_pretrained("roberta-base") model = AutoModelForSequenceClassification.from_pretrained("roberta-base", num_labels=3)

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