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This model is mbart-large-50-many-to-many-mmt model fine-tuned on the text part of PortMEDIA-Lang spoken language understanding dataset.
The scores on the test set are 40.76% and 43.93% for CER and CVER respectively.
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# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("akreal/mbart-large-50-finetuned-portmedia-lang") model = AutoModelForSeq2SeqLM.from_pretrained("akreal/mbart-large-50-finetuned-portmedia-lang", device_map="auto")