Instructions to use akreal/mbart-large-50-finetuned-slurp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akreal/mbart-large-50-finetuned-slurp with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
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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