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Fix serverless naming (#2137)
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README.md

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@@ -141,7 +141,7 @@ The advantages are:
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- Free model or dataset hosting for libraries and their users.
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- Built-in file versioning, even with very large files, thanks to a git-based approach.
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- Hosted inference API for all models publicly available.
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- Serverless inference API for all models publicly available.
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- In-browser widgets to play with the uploaded models.
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- Anyone can upload a new model for your library, they just need to add the corresponding tag for the model to be discoverable.
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- Fast downloads! We use Cloudfront (a CDN) to geo-replicate downloads so they're blazing fast from anywhere on the globe.

docs/source/en/guides/inference.md

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@@ -79,7 +79,7 @@ Visit the [Models](https://huggingface.co/models) page on the Hub to explore you
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### Using a specific URL
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The examples we saw above use the free-hosted Inference API. This proves to be very useful for prototyping
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The examples we saw above use the Serverless Inference API. This proves to be very useful for prototyping
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and testing things quickly. Once you're ready to deploy your model to production, you'll need to use a dedicated infrastructure.
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That's where [Inference Endpoints](https://huggingface.co/docs/inference-endpoints/index) comes into play. It allows you to deploy
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any model and expose it as a private API. Once deployed, you'll get a URL that you can connect to using exactly the same

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