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2 changes: 1 addition & 1 deletion chapters/en/chapter4/3.mdx
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Expand Up @@ -177,7 +177,7 @@ Click on the "Files and versions" tab, and you should see the files visible in t

As you've seen, the `push_to_hub()` method accepts several arguments, making it possible to upload to a specific repository or organization namespace, or to use a different API token. We recommend you take a look at the method specification available directly in the [🤗 Transformers documentation](https://huggingface.co/transformers/model_sharing) to get an idea of what is possible.

The `push_to_hub()` method is backed by the [`huggingface_hub`](https://github.com/huggingface/huggingface_hub) Python package, which offers a direct API to the Hugging Face Hub. It's integrated within 🤗 Transformers and several other machine learning libraries, like [`allenlp`](https://github.com/allenai/allennlp). Although we focus on the 🤗 Transformers integration in this chapter, integrating it into your own code or library is simple.
The `push_to_hub()` method is backed by the [`huggingface_hub`](https://github.com/huggingface/huggingface_hub) Python package, which offers a direct API to the Hugging Face Hub. It's integrated within 🤗 Transformers and several other machine learning libraries, like [`allennlp`](https://github.com/allenai/allennlp). Although we focus on the 🤗 Transformers integration in this chapter, integrating it into your own code or library is simple.

Jump to the last section to see how to upload files to your newly created repository!

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