Github Rbcmgs Huggingface Transformers Transformers State Of The

Leo Migdal

-Nov 17, 2025, 10:22 PM

github rbcmgs huggingface transformers transformers state of the

English | 简体中文 | 繁體中文 | 한국어 | Español | 日本語 | हिन्दी | Русский | Рortuguês | తెలుగు | Français | Deutsch | Tiếng Việt | العربية | اردو | State-of-the-art pretrained models for inference and training Transformers acts as the model-definition framework for state-of-the-art machine learning models in text, computer vision, audio, video, and multimodal model, for both inference and training. It centralizes the model definition so that this definition is agreed upon across the ecosystem. transformers is the pivot across frameworks: if a model definition is supported, it will be compatible with the majority of training frameworks (Axolotl, Unsloth, DeepSpeed, FSDP, PyTorch-Lightning, ...), inference engines (vLLM, SGLang, TGI, ...),... We pledge to help support new state-of-the-art models and democratize their usage by having their model definition be simple, customizable, and efficient.

English | 简体中文 | 繁體中文 | 한국어 | Español | 日本語 | हिन्दी | Русский | Português | తెలుగు | Français | Deutsch | Italiano | Tiếng Việt | العربية | اردو | বাংলা... State-of-the-art pretrained models for inference and training Transformers acts as the model-definition framework for state-of-the-art machine learning with text, computer vision, audio, video, and multimodal models, for both inference and training. It centralizes the model definition so that this definition is agreed upon across the ecosystem. transformers is the pivot across frameworks: if a model definition is supported, it will be compatible with the majority of training frameworks (Axolotl, Unsloth, DeepSpeed, FSDP, PyTorch-Lightning, ...), inference engines (vLLM, SGLang, TGI, ...),... We pledge to help support new state-of-the-art models and democratize their usage by having their model definition be simple, customizable, and efficient.

🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering. 🤗 Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments. There was an error while loading. Please reload this page.

State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, question answering, summarization, translation, text generation and more in over 100 languages. Its aim is to make cutting-edge NLP easier to use for everyone. 🤗 Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments. 🤗 Transformers is backed by the three most popular deep learning libraries — Jax, PyTorch and TensorFlow — with a seamless integration between them.

It's straightforward to train your models with one before loading them for inference with the other. You can test most of our models directly on their pages from the model hub. We also offer private model hosting, versioning, & an inference API for public and private models. and get access to the augmented documentation experience Transformers acts as the model-definition framework for state-of-the-art machine learning models in text, computer vision, audio, video, and multimodal model, for both inference and training. It centralizes the model definition so that this definition is agreed upon across the ecosystem.

transformers is the pivot across frameworks: if a model definition is supported, it will be compatible with the majority of training frameworks (Axolotl, Unsloth, DeepSpeed, FSDP, PyTorch-Lightning, …), inference engines (vLLM, SGLang, TGI, …),... We pledge to help support new state-of-the-art models and democratize their usage by having their model definition be simple, customizable, and efficient. There are over 1M+ Transformers model checkpoints on the Hugging Face Hub you can use. English | 简体中文 | 繁體中文 | 한국어 | Español | 日本語 | हिन्दी | Русский | Рortuguês | తెలుగు | Français | Deutsch | Tiếng Việt | العربية | اردو | State-of-the-art pretrained models for inference and training Transformers is a library of pretrained text, computer vision, audio, video, and multimodal models for inference and training.

Use Transformers to fine-tune models on your data, build inference applications, and for generative AI use cases across multiple modalities. There are over 500K+ Transformers model checkpoints on the Hugging Face Hub you can use. Explore the Hub today to find a model and use Transformers to help you get started right away. There was an error while loading. Please reload this page. Optimum is an extension of Transformers 🤖 Diffusers 🧨 TIMM 🖼️ and Sentence-Transformers 🤗, providing a set of optimization tools and enabling maximum efficiency to train and run models on targeted hardware, while keeping...

Optimum can be installed using pip as follows: If you'd like to use the accelerator-specific features of Optimum, you can check the documentation and install the required dependencies according to the table below: The --upgrade --upgrade-strategy eager option is needed to ensure the different packages are upgraded to the latest possible version. For the accelerator-specific features, append optimum[accelerator_type] to the above command:

Github Rbcmgs Huggingface Transformers Transformers State Of The

People Also Search

English | 简体中文 | 繁體中文 | 한국어 | Español |

English | 简体中文 | 繁體中文 | 한국어 | Español |

There Was An Error While Loading. Please Reload This Page.

🤗 Transformers Provides Thousands Of Pretrained Models To Perform Tasks

State-of-the-art Natural Language Processing For Jax, PyTorch And TensorFlow 🤗