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bart-large-cnn-samsum

> If you want to use the model you should try a newer fine-tuned FLAN-T5 version philschmid/flan-t5-base-samsum out socring the BART version with `+6` on `ROGUE1` achieving `47.24`. This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container. For more information look at: - 🤗 Transformers Documentation: Amazon SageMaker - Example Notebooks - Amazon SageMaker documentation for Hugging Face - Python SDK SageMaker documentation for Hugging Face - Deep Learning Container

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> If you want to use the model you should try a newer fine-tuned FLAN-T5 version philschmid/flan-t5-base-samsum out socring the BART version with `+6` on `ROGUE1` achieving `47.24`. This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container. For more information look at: - 🤗 Transformers Documentation: Amazon SageMaker - Example Notebooks - Amazon SageMaker documentation for Hugging Face - Python SDK SageMaker documentation for Hugging Face - Deep Learning Container

情報源

huggingface.co ↗