Adding MidiTok to models-libraries.md (#1053)

huggingface · Oct 27, 2023 · 31c962f · 31c962f
1 parent d1d699e
commit 31c962f
Showing 1 changed file with 7 additions and 6 deletions.
diff --git a/docs/hub/models-libraries.md b/docs/hub/models-libraries.md
@@ -16,19 +16,20 @@ The table below summarizes the supported libraries and their level of integratio
 | [fastai](https://github.com/fastai/fastai)                                  | Library to train fast and accurate models with state-of-the-art outputs.             | ✅ | ✅ | ✅ | ✅ |
 | [Keras](https://huggingface.co/docs/hub/keras)                              | Library that uses a consistent and simple API to build models leveraging TensorFlow and its ecosystem. | ❌ | ❌ | ✅ | ✅ |
 | [Flair](https://github.com/flairNLP/flair)                                  | Very simple framework for state-of-the-art NLP.                                      | ✅ | ✅ | ✅ | ✅ |
-| [MBRL-Lib](https://github.com/facebookresearch/mbrl-lib) | PyTorch implementations of MBRL Algorithms. | ❌ | ❌ | ✅ | ✅ |
-| [ML-Agents](https://github.com/huggingface/ml-agents) | Enables games and simulations made with Unity to serve as environments for training intelligent agents. | ❌ | ❌ | ✅ | ✅ |
+| [MBRL-Lib](https://github.com/facebookresearch/mbrl-lib)                    | PyTorch implementations of MBRL Algorithms.                                          | ❌ | ❌ | ✅ | ✅ |
+| [MidiTok](https://github.com/Natooz/MidiTok)                                | Tokenizers for symbolic music / MIDI files.                                          | ❌ | ❌ | ✅ | ✅ |
+| [ML-Agents](https://github.com/huggingface/ml-agents)                       | Enables games and simulations made with Unity to serve as environments for training intelligent agents. | ❌ | ❌ | ✅ | ✅ |
 | [NeMo](https://github.com/NVIDIA/NeMo)                                      | Conversational AI toolkit built for researchers                                      | ✅ | ✅ | ✅ | ❌ |
 | [PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP)                      | Easy-to-use and powerful NLP library built on PaddlePaddle                           | ✅ | ✅ | ✅ | ✅ |
 | [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                         | ❌ | ❌ | ✅ | ❌ |
-| [Pythae](https://github.com/clementchadebec/benchmark_VAE)                  | Unified framework for Generative Autoencoders in Python | ❌ | ❌ | ✅ | ✅ |
-| [RL-Baselines3-Zoo](https://github.com/DLR-RM/rl-baselines3-zoo) | Training framework for Reinforcement Learning, using [Stable Baselines3](https://github.com/DLR-RM/stable-baselines3).| ❌ | ✅ | ✅ | ✅ |
-| [Sample Factory](https://github.com/alex-petrenko/sample-factory)    | Codebase for high throughput asynchronous reinforcement learning.          | ❌ | ✅ | ✅ | ✅ |
+| [Pythae](https://github.com/clementchadebec/benchmark_VAE)                  | Unified framework for Generative Autoencoders in Python                              | ❌ | ❌ | ✅ | ✅ |
+| [RL-Baselines3-Zoo](https://github.com/DLR-RM/rl-baselines3-zoo)            | Training framework for Reinforcement Learning, using [Stable Baselines3](https://github.com/DLR-RM/stable-baselines3).| ❌ | ✅ | ✅ | ✅ |
+| [Sample Factory](https://github.com/alex-petrenko/sample-factory)           | Codebase for high throughput asynchronous reinforcement learning.                    | ❌ | ✅ | ✅ | ✅ |
 | [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.                           | ✅ | ✅ | ✅ | ✅ |
 | [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER)                    | Familiar, simple and state-of-the-art Named Entity Recognition.                      | ✅ | ✅ | ✅ | ✅ |
-| [Scikit Learn (using skops)](https://skops.readthedocs.io/en/stable/)                          | Machine Learning in Python.                           | ✅ | ✅ | ✅ | ✅ |
+| [Scikit Learn (using skops)](https://skops.readthedocs.io/en/stable/)       | Machine Learning in Python.                                                          | ✅ | ✅ | ✅ | ✅ |
 | [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.                           | ❌ | ❌ | ✅ | ❌ |