How to deploy and fine-tune DeepSeek models on AWS
DeepSeek is a pre-trained model for searching and retrieving relevant information from large text datasets. Deploying and fine-tuning DeepSeek models on AWS involves several steps, including setting up an AWS account, installing required libraries, and configuring the model architecture. The process also includes uploading data to S3 and fine-tuning the model using the Hugging Face Transformers library.
DeepSeek is a pre-trained model for searching and retrieving relevant information from large text datasets. Deploying and fine-tuning DeepSeek models on AWS involves several steps, including setting up an AWS account, installing required libraries, and configuring the model architecture. The process also includes uploading data to S3 and fine-tuning the model using the Hugging Face Transformers library.
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Why it matters: This matters because it provides a practical guide for researchers and developers looking to deploy DeepSeek models on cloud infrastructure, enabling them to scale up their text retrieval applications.
Source: https://huggingface.co/blog/deepseek-r1-aws
This article was originally published at: https://huggingface.co/blog/deepseek-r1-aws