Text Ranking
Transformers
Safetensors
Greek
English
llama_bidirec
text-classification
greek
english
reranker
cross-encoder
rag
nemotron
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use KIEFERSA/Sophea-Nemo-Reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KIEFERSA/Sophea-Nemo-Reranker with Transformers:
# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("KIEFERSA/Sophea-Nemo-Reranker", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ac6d0b04bcb3b9d6d05d0499a30238c962ec97391080b44e4f4568aaceef117
- Size of remote file:
- 17.2 MB
- SHA256:
- 8df7c1e572298d8e41141627b38c75e5103e131d16e1c334f365bb0a930b0260
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