metadata
library_name: encoderfile
base_model: deepset/deberta-v3-base-injection
tags:
- encoderfile
deepset/deberta-v3-base-injection Encoderfiles
Generated with Encoderfile Encoderfile 0.6.2
Pre-built encoderfiles for deepset/deberta-v3-base-injection — self-contained, executable embedding servers you can run without any Python or ML dependencies.
Download
Pick the binary for your platform:
| Platform | File |
|---|---|
| macOS (Apple Silicon) | deberta-v3-base-injection.aarch64-apple-darwin.encoderfile |
| macOS (Intel) | deberta-v3-base-injection.x86_64-apple-darwin.encoderfile |
| Linux (x86_64) | deberta-v3-base-injection.x86_64-linux-gnu.encoderfile |
| Linux (ARM64) | deberta-v3-base-injection.aarch64-linux-gnu.encoderfile |
Or download directly (example for macOS Apple Silicon):
wget https://huggingface.co/mozilla-ai/deepset-deberta-v3-base-injection-encoderfile/blob/main/deberta-v3-base-injection.aarch64-apple-darwin.encoderfile
chmod +x ./deberta-v3-base-injection.aarch64-apple-darwin.encoderfile
Usage
Run as an embedding server:
./deberta-v3-base-injection.aarch64-apple-darwin.encoderfile serve
Infer directly from the CLI:
./deberta-v3-base-injection.aarch64-apple-darwin.encoderfile infer "this is a test"
About Encoderfile
Encoderfiles are self-contained executables that bundle a model and its runtime into a single binary. No Python, no dependencies — just download and run.
Learn more at mozilla-ai/encoderfile.