Open Jimmy-Newtron opened 1 month ago
To resolve the issue with the model BAAI/bge-reranker-v2-gemma
having embedding capabilities but no rerank, follow these steps:
Locate Model Definition: Open models.py
and find the class definition for BgeRerankerV2Gemma
.
Add Rerank Capability: Ensure the class includes a method for reranking. For example:
class BgeRerankerV2Gemma(BaseModel):
def __init__(self, ...):
super().__init__(...)
# existing initialization code
def rerank(self, inputs):
# Add reranking logic here
pass
rerank
.self.capabilities = ["embed", "rerank"]
Ensure Backend Support: Verify that the backend specified (torch
) supports the reranking operation. This might involve checking or updating backend.py
.
Configuration: Ensure the model configuration file (likely config.json
or similar) reflects the new capabilities.
{
"capabilities": ["embed", "rerank"]
}
These steps should add the rerank capability to the model.
/.github/ISSUE_TEMPLATE/new-model-addition.yml /docs/assets/openapi.json /libs/infinity_emb/tests/end_to_end/test_optimum_embedding.py /libs/infinity_emb/infinity_emb/fastapi_schemas/convert.py /README.md /docs/docs/index.md /docs/benchmarks/simple_app.py /docs/docs /libs/infinity_emb/tests/conftest.py /.github/ISSUE_TEMPLATE/bug-report.yml /.github/ISSUE_TEMPLATE /libs/infinity_emb/tests/data/benchmark /docs/docs/python_engine.md /libs/infinity_emb/tests/end_to_end/test_authentication.py /docs/docs/deploy.md /libs/infinity_emb/infinity_emb/engine.py /docs/assets /docs/benchmarks /docs /libs/infinity_emb/tests/data /libs/infinity_emb/infinity_emb/inference/select_model.py /libs/infinity_emb /docs/docs/integrations.md /libs/infinity_emb/Makefile
Model description
The model is loaded but strangely it has capabilities of embedding and no rerank
Open source status
pip install infinity_emb[all] --upgrade
Provide useful links for the implementation
No response