Add fastai to libraries table (huggingface#168)

* Add fastai to models' table * fix fastai name * apply alphabetical order to libraries (fastai, sb3)
thanktua-spp · Jun 2, 2022 · bf7d106 · bf7d106
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diff --git a/docs/hub/_toctree.yml b/docs/hub/_toctree.yml
@@ -45,7 +45,7 @@
       - local: espnet
         title: ESPnet
       - local: fastai
-        title: FastAI
+        title: fastai
       - local: keras
         title: Keras
       - local: sentence-transformers

diff --git a/docs/hub/fastai.md b/docs/hub/fastai.md
@@ -1,4 +1,4 @@
-# Using FastAI at Hugging Face
+# Using fastai at Hugging Face
 
 `fastai` is an open-source Deep Learning library that leverages PyTorch and Python to provide high-level components to train fast and accurate neural networks with state-of-the-art outputs on text, vision, and tabular data. 
 

diff --git a/docs/hub/models-libraries.md b/docs/hub/models-libraries.md
@@ -4,25 +4,25 @@ The Hub has support for dozens of libraries in the Open Source ecosystem. Thanks
 
 The table below summarizes the supported libraries and their level of integration. Find all our supported libraries [here](https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Libraries.ts)! 
 
-| Library               | Description                                                                   | Inference API | Widgets | Download from Hub | Push to Hub |
-|-----------------------|-------------------------------------------------------------------------------|---------------|-------:|-------------------|-------------|
-| [🤗 Transformers](https://github.com/huggingface/transformers)         | State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX |       ✅       |    ✅   |         ✅         |      ✅      |
-| [Adapter Transformers](https://github.com/Adapter-Hub/adapter-transformers)  | Extends 🤗Transformers with Adapters.                                          |       ❌       | ❌      |         ✅         |      ✅      |
-| [AllenNLP](https://github.com/allenai/allennlp)              | An open-source NLP research library, built on PyTorch.                        |       ✅       |    ✅   |         ✅         |      ❌      |
-| [Asteroid](https://github.com/asteroid-team/asteroid)              | Pytorch-based audio source separation toolkit                                 |       ✅       | ✅     |         ✅         |      ❌      |
+| Library | Description | Inference API | Widgets | Download from Hub | Push to Hub |
+|---|---|---|---:|---|---|
+| [🤗 Transformers](https://github.com/huggingface/transformers) | State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX | ✅ | ✅ | ✅ | ✅ |
+| [Adapter Transformers](https://github.com/Adapter-Hub/adapter-transformers) | Extends 🤗Transformers with Adapters. | ❌ | ❌ | ✅ | ✅ |
+| [AllenNLP](https://github.com/allenai/allennlp) | An open-source NLP research library, built on PyTorch. | ✅ | ✅ | ✅ | ❌ |
+| [Asteroid](https://github.com/asteroid-team/asteroid) | Pytorch-based audio source separation toolkit | ✅ | ✅ | ✅ | ❌ |
 | [docTR](https://github.com/mindee/doctr) | Models and datasets for OCR-related tasks in PyTorch & TensorFlow | ✅ | ✅ | ✅ | ❌ |
-| [ESPnet](https://github.com/espnet/espnet)                | End-to-end speech processing toolkit (e.g. TTS)                               |       ✅       | ✅      |         ✅         |      ❌      |
-| [Flair](https://github.com/flairNLP/flair)                 | Very simple framework for state-of-the-art NLP. |       ✅       |    ✅   |         ✅         |      ❌      |
-| [NeMo](https://github.com/NVIDIA/NeMo)                 | Conversational AI toolkit built for researchers  |       ✅       |    ✅   |         ✅         |      ❌      |
-| [Pyannote](https://github.com/pyannote/pyannote-audio)              | Neural building blocks for speaker diarization.                               |       ❌       |    ❌   |         ✅         |      ❌      |
-| [PyCTCDecode](https://github.com/kensho-technologies/pyctcdecode)                  | Language model supported CTC decoding for speech recognition                |       ❌       |    ❌   |         ✅         |      ❌      |
-| [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) | Compute dense vector representations for sentences, paragraphs, and images.   |       ✅       |    ✅   |         ✅         |      ✅      |
-| [spaCy](https://github.com/explosion/spaCy)                 | Advanced Natural Language Processing in Python and Cython.                    |       ✅       |    ✅   |         ✅         |      ✅      |
-| [Speechbrain](https://speechbrain.github.io/)                 | A PyTorch Powered Speech Toolkit. |       ✅       |    ✅   |         ✅         |      ❌      |
-| [TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS)         | Real-time state-of-the-art speech synthesis architectures.                    |       ❌       |    ❌   |         ✅         |      ❌      |
-| [Timm](https://github.com/rwightman/pytorch-image-models)                  | Collection of image models, scripts, pretrained weights, etc.                 |       ❌       |    ❌   |         ✅         |      ❌      |
-| [Stable-Baselines3](https://github.com/DLR-RM/stable-baselines3)                  | Set of reliable implementations of deep reinforcement learning algorithms in PyTorch                  |       ❌       |    ✅   |         ✅         |      ✅      |
-
+| [ESPnet](https://github.com/espnet/espnet) | End-to-end speech processing toolkit (e.g. TTS) | ✅ | ✅ | ✅ | ❌ |
+| [fastai](https://github.com/fastai/fastai) | Library to train fast and accurate models with state-of-the-art outputs. | ✅ | ✅ | ✅ | ✅ |
+| [Flair](https://github.com/flairNLP/flair) | Very simple framework for state-of-the-art NLP. | ✅ | ✅ | ✅ | ❌ |
+| [NeMo](https://github.com/NVIDIA/NeMo) | Conversational AI toolkit built for researchers | ✅ | ✅ | ✅ | ❌ |
+| [Pyannote](https://github.com/pyannote/pyannote-audio) | Neural building blocks for speaker diarization. | ❌ | ❌ | ✅ | ❌ |
+| [PyCTCDecode](https://github.com/kensho-technologies/pyctcdecode) | Language model supported CTC decoding for speech recognition | ❌ | ❌ | ✅ | ❌ |
+| [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) | Compute dense vector representations for sentences, paragraphs, and images. | ✅ | ✅ | ✅ | ✅ |
+| [spaCy](https://github.com/explosion/spaCy) | Advanced Natural Language Processing in Python and Cython. | ✅ | ✅ | ✅ | ✅ |
+| [Speechbrain](https://speechbrain.github.io/) | A PyTorch Powered Speech Toolkit. | ✅ | ✅ | ✅ | ❌ |
+| [Stable-Baselines3](https://github.com/DLR-RM/stable-baselines3) | Set of reliable implementations of deep reinforcement learning algorithms in PyTorch | ❌ | ✅ | ✅ | ✅ |
+| [TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS) | Real-time state-of-the-art speech synthesis architectures. | ❌ | ❌ | ✅ | ❌ |
+| [Timm](https://github.com/rwightman/pytorch-image-models) | Collection of image models, scripts, pretrained weights, etc. | ❌ | ❌ | ✅ | ❌ |
 
 ### How can I add a new library to the Inference API?