Text Ranking
Transformers.js
ONNX
Korean
English
modernbert
text-classification
cross-encoder
reranker
Instructions to use CreeJee/KURE-Reranker-nano-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use CreeJee/KURE-Reranker-nano-ONNX with Transformers.js:
// npm i @huggingface/transformers import { AutoTokenizer, AutoModelForSequenceClassification } from '@huggingface/transformers'; const tokenizer = await AutoTokenizer.from_pretrained('CreeJee/KURE-Reranker-nano-ONNX'); const model = await AutoModelForSequenceClassification.from_pretrained('CreeJee/KURE-Reranker-nano-ONNX'); const query = 'Which planet is known as the Red Planet?'; const documents = [ 'Mars, known for its reddish appearance, is often referred to as the Red Planet.', 'Venus is often called the twin of Earth because of its similar size and proximity.', ]; const inputs = tokenizer(new Array(documents.length).fill(query), { text_pair: documents, padding: true, truncation: true }); const { logits } = await model(inputs); console.log(logits.sigmoid().tolist()); // one relevance score per document
Download config.json from CreeJee/KURE-Reranker-nano-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 1.4 kB
-
https://huggingface.co/CreeJee/KURE-Reranker-nano-ONNX/resolve/main/config.json
- Command line
-
hf download hf://CreeJee/KURE-Reranker-nano-ONNX/config.json
-
curl -L -o config.json https://huggingface.co/CreeJee/KURE-Reranker-nano-ONNX/resolve/main/config.json
1.4 kB
| { | |
| "architectures": [ | |
| "ModernBertForSequenceClassification" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.0, | |
| "classifier_pooling": "mean", | |
| "cls_token_id": 0, | |
| "decoder_bias": true, | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.0, | |
| "eos_token_id": 1, | |
| "global_attn_every_n_layers": 3, | |
| "global_rope_theta": 160000, | |
| "gradient_checkpointing": false, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1152, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "local_attention": 128, | |
| "local_rope_theta": 10000.0, | |
| "max_position_embeddings": 16384, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "model_type": "modernbert", | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 22, | |
| "pad_token_id": 49999, | |
| "position_embedding_type": "absolute", | |
| "repad_logits_with_grad": false, | |
| "sentence_transformers": { | |
| "activation_fn": "torch.nn.modules.linear.Identity", | |
| "version": "5.1.0" | |
| }, | |
| "sep_token_id": 1, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "transformers_version": "4.57.6", | |
| "vocab_size": 50000 | |
| } | |