The easiest way to run an open model on your own machine: one command downloads and starts it, plus a local REST API and libraries for Python and JavaScript.
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Open models & inferencehuggingface
transformers
The core library for working with models: one codebase for text, vision, audio and multimodal tasks, for both inference and training. Most new open models ship through it.
Who it is for
For Python developers and researchers who run and fine-tune models.
How to start
- Install:
pip install "transformers[torch]". - Run
pipeline(task="text-generation", model="Qwen/Qwen2.5-1.5B")from the Quickstart. - Change
taskandmodelto try speech recognition, images and more.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+2,412Sep 6 — Oct 6
Author's description
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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