Instructions to use din0s/t5-base-msmarco-nlgen-ob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use din0s/t5-base-msmarco-nlgen-ob with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("din0s/t5-base-msmarco-nlgen-ob") model = AutoModelForSeq2SeqLM.from_pretrained("din0s/t5-base-msmarco-nlgen-ob") - Notebooks
- Google Colab
- Kaggle
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# t5-base-msmarco-nlgen-ob
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.3874
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- Rougelsum: 14.4418
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# t5-base-msmarco-nlgen-ob
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the [MS MARCO Natural Language Generation](https://huggingface.co/datasets/din0s/msmarco-nlgen) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3874
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- Rougelsum: 14.4418
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