# Train Large Dataset On The Cloud

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**Category:** Beginners\
**Created:** [October 1, 2023, 3:22am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ftrain-large-dataset-on-the-cloud%2F56973 "2023-10-01T03:22:47Z")\
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**Author:** ![Dloring1](https://avatars.discourse-cdn.com/v4/letter/d/c67d28/32.png) [@Dloring1](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FDloring1)%5C
**Post date:** [October 1, 2023, 3:22am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ftrain-large-dataset-on-the-cloud%2F56973%2F1 "2023-10-01T03:22:47Z")

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Can someone help me I am trying to fine tune a GPT2 on a RunPod instance. Is there a better way to get my datasets loaded on my RunPod so I am not wasting time and money on the cloud. I was hoping that maybe I could load, tokenize, generate the splits all at the house then save it afterwards to save a large amount of time.

Right now I do the following:

1. Load Model and tokenizer
2. Load Dataset and tokenize it
3. Train model
4. Save model