Comments (2)
You could store the models here at GitHub to ensure that they are always accesible.
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read the README
from flashrank.
Related Issues (16)
- Multi-lingual model results are not as expected HOT 3
- The original index required to ref back to the oringinal metadata. HOT 3
- Wrong scoring when the query and 1 sentence in a passage is the same. HOT 1
- Support for Custom Models like ce-esci-MiniLM-L12-v2 in FlashRank HOT 5
- Update `README.md` to mention any models trained on copyrighted data HOT 1
- Option to Use GPU, CUDA HOT 3
- Failing inside a fast api call HOT 1
- requests.exceptions.HTTPError: 403 Client Error HOT 3
- Initializing Ranker not working HOT 1
- onnxruntime.capi.onnxruntime_pybind11_state.NoSuchFile: [ONNXRuntimeError] : 3 : NO_SUCHFILE HOT 2
- I am having issue while initializing Reranker HOT 1
- Give option to suppress print statements HOT 1
- Reranking with ms-marco-MultiBERT-L-12 returns complex score HOT 1
- Feature request: replace print statements with logging module so it could be suppressed HOT 1
- How to deploy a FlashRank Reranker model on AWS LAMBDA as specified? HOT 2
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