Text Ranking
sentence-transformers
Safetensors
Transformers
multilingual
t5gemma2
text2text-generation
reranker
encoder-decoder
FBNL
Retrieval
RAG
File size: 295 Bytes
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from __future__ import annotations

from vllm import ModelRegistry

from .constants import ARCHITECTURE


def register() -> None:
    ModelRegistry.register_model(
        ARCHITECTURE,
        "kalm_t5gemma2_vllm_plugin.modeling:T5Gemma2VllmScoreClassification",
    )


__all__ = ["register"]