| | --- |
| | 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). |
