huggingface/transformers.js-examples
A collection of demos running Hugging Face Transformers.js ML models (LLMs, segmentation, semantic search) directly in the browser using WebGPU.
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This repository contains example applications demonstrating how to use the Transformers.js JavaScript library to run various machine learning models in the browser. It includes examples for conversational LLMs (Phi-3.5, Llama-3.2, SmolLM), image segmentation (Segment Anything, Sapiens), background removal, and semantic search. All demos leverage WebGPU for client-side inference without server dependencies.
Frequently asked
- What is huggingface/transformers.js-examples?
- A collection of demos running Hugging Face Transformers.js ML models (LLMs, segmentation, semantic search) directly in the browser using WebGPU.
- Is transformers.js-examples open source?
- Yes — huggingface/transformers.js-examples is open source, released under the Apache-2.0 license.
- What language is transformers.js-examples written in?
- huggingface/transformers.js-examples is primarily written in JavaScript.
- How popular is transformers.js-examples?
- huggingface/transformers.js-examples has 2.1k stars on GitHub.
- Where can I find transformers.js-examples?
- huggingface/transformers.js-examples is on GitHub at https://github.com/huggingface/transformers.js-examples.