LegalLMs
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XLM-RoBERTa models with continued pretraining on the MultiLegalPile • 37 items • Updated • 4
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-spanish-roberta-base")
model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-spanish-roberta-base", device_map="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joelniklaus/legal-spanish-roberta-base")