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This model is mbart-large-50-many-to-many-mmt model fine-tuned on the text part of SLURP spoken language understanding dataset.
The scores on the test set are 85.68% and 79.00% for Intent accuracy and SLU-F1 respectively.
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("akreal/mbart-large-50-finetuned-slurp") model = AutoModelForSeq2SeqLM.from_pretrained("akreal/mbart-large-50-finetuned-slurp", device_map="auto")