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README.md

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+---
+tags:
+- encoderfile
+---
+# Encoderfile Models
+
+Pre-built [encoderfiles](https://github.com/mozilla-ai/encoderfile) for popular Hugging Face embedding models — self-contained executables that run as embedding servers with no Python or ML dependencies required.
+
+## Available Models
+
+| Model | Details |
+|---|---|
+| [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/) | 384-dim, English sentence embeddings |
+
+More models coming soon.
+
+## Usage
+
+Each model directory contains platform-specific binaries. Download the one for your platform, make it executable, and run:
+
+```bash
+# Serve embeddings over HTTP
+./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile serve
+
+# Or infer directly from the CLI
+./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile infer "this is a test"
+```
+
+If you don't see the model you want or are using an exotic architecture, check out our guide on [Building encoderfiles](https://mozilla-ai.github.io/encoderfile/reference/building/).
+
+## About
+
+These encoderfiles are built and published by [mozilla-ai](https://huggingface.co/mozilla-ai) using the [Encoderfile](https://github.com/mozilla-ai/encoderfile) tool. To build your own, see the [Encoderfile documentation](https://mozilla-ai.github.io/encoderfile).