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1 change: 1 addition & 0 deletions docs/hub/models-libraries.md
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Expand Up @@ -24,6 +24,7 @@ The table below summarizes the supported libraries and their level of integratio
| [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).| ❌ | ✅ | ✅ | ✅ |
| [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. | ✅ | ✅ | ✅ | ✅ |
| [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. | ❌ | ❌ | ✅ | ❌ |
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