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encoderfiles collection to find your favorite prebuilt encoderfiles.| Model | Details |
|---|---|
| sentence-transformers/all-MiniLM-L6-v2 | 384-dim, English sentence embeddings |
| deepset/deberta-v3-base-injection | DeBERTa-variant prompt injection classification model |
| JasperLS/deberta-v3-base-injection | DeBERTa-variant prompt injection classification model |
| JasperLS/gelectra-base-injection | gELECTRA-variant prompt injection classification model |
| protectai/deberta-v3-base-prompt-injection-v2 | DeBERTa-variant prompt injection classification model |
| protectai/deberta-v3-small-prompt-injection-v2 | DeBERTa-variant prompt injection classification model |
| protectai/deberta-v3-base-prompt-injection | DeBERTa-variant prompt injection classification model |
| protectai/distilroberta-base-rejection-v1 | DistilRoBERTa-variant prompt injection classification model |
| DuoGuard/DuoGuard-0.5B | Content moderation model based on Qwen2.5-0.5B |
1# Serve embeddings over HTTP
2./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile serve
3
4# Or infer directly from the CLI
5./all-MiniLM-L6-v2.aarch64-apple-darwin.encoderfile infer "this is a test"