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: 1,226 Bytes
c58d757 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | {
"architectures": [
"LlamaBidirectionalForSequenceClassification"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "llama_bidirectional_model.LlamaBidirectionalConfig",
"AutoModelForSequenceClassification": "llama_bidirectional_model.LlamaBidirectionalForSequenceClassification"
},
"bos_token_id": 128000,
"dtype": "bfloat16",
"eos_token_id": 128001,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 2048,
"id2label": {
"0": "LABEL_0"
},
"initializer_range": 0.02,
"intermediate_size": 8192,
"label2id": {
"LABEL_0": 0
},
"max_position_embeddings": 131072,
"mlp_bias": false,
"model_type": "llama_bidirec",
"num_attention_heads": 32,
"num_hidden_layers": 16,
"num_key_value_heads": 8,
"pad_token_id": 128001,
"pooling": "avg",
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_parameters": {
"factor": 32.0,
"high_freq_factor": 4.0,
"low_freq_factor": 1.0,
"original_max_position_embeddings": 8192,
"rope_theta": 500000.0,
"rope_type": "llama3"
},
"temperature": 1.0,
"tie_word_embeddings": true,
"transformers_version": "5.13.0",
"use_cache": false,
"vocab_size": 128256
}
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