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
File size: 361 Bytes
c58d757 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"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"
}
|