Instructions to use mozilla-ai/JasperLS-deberta-v3-base-injection-encoderfile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- encoderfile
How to use mozilla-ai/JasperLS-deberta-v3-base-injection-encoderfile with encoderfile:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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deberta-v3-base-injection.aarch64-apple-darwin.encoderfile filter=lfs diff=lfs merge=lfs -text
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deberta-v3-base-injection.aarch64-linux-gnu.encoderfile filter=lfs diff=lfs merge=lfs -text
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deberta-v3-base-injection.x86_64-apple-darwin.encoderfile filter=lfs diff=lfs merge=lfs -text
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deberta-v3-base-injection.x86_64-linux-gnu.encoderfile filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: encoderfile
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base_model: JasperLS/deberta-v3-base-injection
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tags:
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- encoderfile
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---
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# `JasperLS/deberta-v3-base-injection` Encoderfiles
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**Generated with [Encoderfile](https://github.com/mozilla-ai/encoderfile) Encoderfile 0.6.2**
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Pre-built encoderfiles for [`JasperLS/deberta-v3-base-injection`](https://huggingface.co/JasperLS/deberta-v3-base-injection) — 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) | `deberta-v3-base-injection.aarch64-apple-darwin.encoderfile` |
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| macOS (Intel) | `deberta-v3-base-injection.x86_64-apple-darwin.encoderfile` |
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| Linux (x86_64) | `deberta-v3-base-injection.x86_64-linux-gnu.encoderfile` |
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| Linux (ARM64) | `deberta-v3-base-injection.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/JasperLS-deberta-v3-base-injection-encoderfile/blob/main/deberta-v3-base-injection.aarch64-apple-darwin.encoderfile
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chmod +x ./deberta-v3-base-injection.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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./deberta-v3-base-injection.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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./deberta-v3-base-injection.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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deberta-v3-base-injection.aarch64-apple-darwin.encoderfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:811175c8523d617c65c2f1ff882142c9556e3cd51597103c0c4a53caaa898721
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size 784551386
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deberta-v3-base-injection.aarch64-linux-gnu.encoderfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:47f39895e643447033dec55e67a02874b28d924d1308ae19aa77be3aaa4a0503
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size 788883794
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deberta-v3-base-injection.x86_64-apple-darwin.encoderfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:7079a8e5dcaf00336d7008c059ae09385a4cb16e495e193f63e77f6d6b895ee4
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size 789356334
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deberta-v3-base-injection.x86_64-linux-gnu.encoderfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:33852ea32b373b7da7d4298b25c2c50477e6c0b1a689fbd424e47de722d96aa7
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size 794192898
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