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sentence-transformers/all-MiniLM-L6-v2/README.md
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#
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**
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```bash
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# download encoderfile
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wget https://huggingface.co/mozilla-ai/encoderfile/blob/main/sentence-transformers/all-MiniLM-L6-v2/all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile
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# set as executable
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chmod +x ./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile
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./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile serve
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./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile infer "this is a test"
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```
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# `sentence-transformers/all-MiniLM-L6-v2` Encoderfiles
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> **Generated with [Encoderfile](https://github.com/mozilla-ai/encoderfile) Encoderfile 0.5.1**
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Pre-built encoderfiles for [`sentence-transformers/all-MiniLM-L6-v2`](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) — self-contained, executable embedding servers you can run without any Python or ML dependencies.
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## Download
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Pick the binary for your platform:
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| Platform | File |
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|---|---|
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| macOS (Apple Silicon) | `all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile` |
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| macOS (Intel) | `all-MiniLM-L6-v2.x86_64-apple-darwin.encoderfile` |
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| Linux (x86_64) | `all-MiniLM-L6-v2.x86_64-linux-gnu.encoderfile` |
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| Linux (ARM64) | `all-MiniLM-L6-v2.aarch64-linux-gnu.encoderfile` |
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Or download directly (example for macOS Apple Silicon):
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```bash
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wget https://huggingface.co/mozilla-ai/encoderfile/blob/main/sentence-transformers/all-MiniLM-L6-v2/all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile
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chmod +x ./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile
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```
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## Usage
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**Run as an embedding server:**
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```bash
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./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile serve
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```
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**Infer directly from the CLI:**
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```bash
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./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile infer "this is a test"
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```
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## About Encoderfile
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Encoderfiles are self-contained executables that bundle a model and its runtime into a single binary. No Python, no dependencies — just download and run.
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Learn more at [mozilla-ai/encoderfile](https://github.com/mozilla-ai/encoderfile).
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