Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)
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Updated
Oct 9, 2023 - Jupyter Notebook
Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)
How to deploy a BERT model from Hugging Face Model Hub to Amazon SageMaker for a Fill-Mask use case.
Text auto-completion system using the bert-base-uncased model by Hugging Face in the backend. Designed to enhance user experience across various applications, it anticipates and suggests word sequences as users type.
Text auto-completion system using the bert-base-uncased model by Hugging Face in the backend. Designed to enhance user experience across various applications, it anticipates and suggests word sequences as users type.
Add a description, image, and links to the bert-base-uncased topic page so that developers can more easily learn about it.
To associate your repository with the bert-base-uncased topic, visit your repo's landing page and select "manage topics."