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
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|begin_of_text|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|end_of_text|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 4096, | |
| "pad_token": "<|end_of_text|>", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |