DistilBERT (from HuggingFace) released together with the paper DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter by Victor Sanh, Lysandre Debut, and Thomas Wolf. Transformers Get started Transformers Installation Quickstart Base classes Inference Training 🤗 Transformers provides APIs to easily download and train state-of-the-art pretrained models. image_seq_length) — The number of image tokens to be used for each image in the input. Aug 13, 2025 · This choice is based on empirical observations, as detailed here: https://github. The difference is that the modeling code is not from Transformers. We’re on a journey to advance and democratize artificial intelligence through open source and open science. com/huggingface/transformers/pull/38157 image_seq_length (int | None. You can also upload your own models to the Hub! Before diving into how Transformer models work under the hood, let’s look at a few examples of how they can be used to solve some interesting NLP problems. Transformers Get started Transformers Installation Quickstart Base classes Inference Training 🤗 Transformers provides APIs to easily download and train state-of-the-art pretrained models. It provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. . 🤗 transformers is a library maintained by Hugging Face and the community, for state-of-the-art Machine Learning for Pytorch, TensorFlow and JAX. It ensures you have the most up-to-date changes in Transformers and it’s useful for experimenting with the latest features or fixing a bug that hasn’t been officially released in the stable version yet. Using pretrained models can reduce your compute costs, carbon footprint, and save you time from training a model from scratch. Custom models builds on Transformers’ configuration and modeling classes, supports the AutoClass API, and are loaded with from_pretrained (). Then install an up-to-date version of Transformers and some additional libraries from the Hugging Face ecosystem for accessing datasets and vision models, evaluating training, and optimizing training for large models. The Model Hub contains millions of pretrained models that anyone can download and use.

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