From 680d07eae07fffa709105afcd07a727f843ceafe Mon Sep 17 00:00:00 2001 From: Julien Chaumond Date: Fri, 1 Dec 2023 22:11:28 +0100 Subject: [PATCH] rm a few superfluous exclamation marks (#1155) sort of Follow-up to #1152 --- docs/hub/models-adding-libraries.md | 6 +++--- docs/hub/models-libraries.md | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/hub/models-adding-libraries.md b/docs/hub/models-adding-libraries.md index 7a059b2e1..a211d03c0 100644 --- a/docs/hub/models-adding-libraries.md +++ b/docs/hub/models-adding-libraries.md @@ -1,6 +1,6 @@ # Integrate your library with the Hub -The Hugging Face Hub aims to facilitate sharing machine learning models, checkpoints, and artifacts. This endeavor includes integrating the Hub into many of the amazing third-party libraries in the community. Some of the ones already integrated include [spaCy](https://spacy.io/usage/projects#huggingface_hub), [AllenNLP](https://allennlp.org/), and [timm](https://rwightman.github.io/pytorch-image-models/), among many others. Integration means users can download and upload files to the Hub directly from your library. We hope you will integrate your library and join us in democratizing artificial intelligence for everyone! +The Hugging Face Hub aims to facilitate sharing machine learning models, checkpoints, and artifacts. This endeavor includes integrating the Hub into many of the amazing third-party libraries in the community. Some of the ones already integrated include [spaCy](https://spacy.io/usage/projects#huggingface_hub), [AllenNLP](https://allennlp.org/), and [timm](https://rwightman.github.io/pytorch-image-models/), among many others. Integration means users can download and upload files to the Hub directly from your library. We hope you will integrate your library and join us in democratizing artificial intelligence for everyone. Integrating the Hub with your library provides many benefits, including: @@ -13,7 +13,7 @@ This tutorial will help you integrate the Hub into your library so your users ca Before you begin, we recommend you create a [Hugging Face account](https://huggingface.co/join) from which you can manage your repositories and files. -If you need help with the integration, feel free to open an [issue](https://github.com/huggingface/huggingface_hub/issues/new/choose), and we would be more than happy to help you! +If you need help with the integration, feel free to open an [issue](https://github.com/huggingface/huggingface_hub/issues/new/choose), and we would be more than happy to help you. ## Installation @@ -193,4 +193,4 @@ With these simple but powerful methods, you brought the full functionality of th ## Document your library -If you want, you can add your library to this documentation! Check for example the [Setfit PR](https://github.com/huggingface/hub-docs/pull/1150) that added [SetFit](./setfit) to the documentation. +Finally, you can add your library to the Hub's documentation. Check for example the [Setfit PR](https://github.com/huggingface/hub-docs/pull/1150) that added [SetFit](./setfit) to the documentation. diff --git a/docs/hub/models-libraries.md b/docs/hub/models-libraries.md index 68ab0c7de..1da319129 100644 --- a/docs/hub/models-libraries.md +++ b/docs/hub/models-libraries.md @@ -1,8 +1,8 @@ # Libraries -The Hub has support for dozens of libraries in the Open Source ecosystem. Thanks to the `huggingface_hub` Python library, it's easy to enable sharing your models on the Hub. The Hub supports many libraries, and we're working on expanding this support! We're happy to welcome to the Hub a set of Open Source libraries that are pushing Machine Learning forward. +The Hub has support for dozens of libraries in the Open Source ecosystem. Thanks to the `huggingface_hub` Python library, it's easy to enable sharing your models on the Hub. The Hub supports many libraries, and we're working on expanding this support. We're happy to welcome to the Hub a set of Open Source libraries that are pushing Machine Learning forward. -The table below summarizes the supported libraries and their level of integration. Find all our supported libraries in [model-libraries.ts file](https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/model-libraries.ts)! +The table below summarizes the supported libraries and their level of integration. Find all our supported libraries in [the model-libraries.ts file](https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/model-libraries.ts). | Library | Description | Inference API | Widgets | Download from Hub | Push to Hub | |-----------------------------------------------------------------------------|--------------------------------------------------------------------------------------|---|---:|---|---|