Text Ranking
Transformers
Safetensors
sentence-transformers
Arabic
bert
text-classification
reranking
text-embeddings-inference
Instructions to use NAMAA-Space/GATE-Reranker-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAMAA-Space/GATE-Reranker-V1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NAMAA-Space/GATE-Reranker-V1") model = AutoModelForSequenceClassification.from_pretrained("NAMAA-Space/GATE-Reranker-V1") - sentence-transformers
How to use NAMAA-Space/GATE-Reranker-V1 with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("NAMAA-Space/GATE-Reranker-V1") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Notebooks
- Google Colab
- Kaggle
uplaod 7 files
Browse files- CERerankingEvaluator_train-eval_results_@10.csv +5 -0
- config.json +31 -0
- model.safetensors +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +93 -0
- vocab.txt +0 -0
CERerankingEvaluator_train-eval_results_@10.csv
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epoch,steps,MRR@10,NDCG@10
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0,10000,0.995,0.9963092975357145
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0,20000,0.9925,0.9944639463035719
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0,30000,0.995,0.9963092975357145
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0,40000,0.995,0.9963092975357145
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config.json
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{
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"_name_or_path": "Omartificial-Intelligence-Space/GATE-AraBert-v1",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.43.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 64000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:366c5d81baaf80ac40cf262494278b8311e11d76ae7cdd5781689160409424c5
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size 540799996
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special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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},
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"1": {
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"content": "[UNK]",
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| 13 |
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"lstrip": false,
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"normalized": false,
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| 15 |
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "[CLS]",
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| 21 |
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
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"single_word": false,
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| 25 |
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"special": true
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| 26 |
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},
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| 27 |
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"3": {
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| 28 |
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"content": "[SEP]",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": false,
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| 31 |
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"rstrip": false,
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| 32 |
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"single_word": false,
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| 33 |
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"special": true
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| 34 |
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},
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| 35 |
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"4": {
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| 36 |
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"content": "[MASK]",
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| 37 |
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"lstrip": false,
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| 38 |
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"normalized": false,
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| 39 |
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"rstrip": false,
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| 40 |
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"single_word": false,
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| 41 |
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"special": true
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| 42 |
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},
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| 43 |
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"5": {
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| 44 |
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"content": "[رابط]",
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| 45 |
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"lstrip": false,
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| 46 |
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"normalized": true,
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| 47 |
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"rstrip": false,
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| 48 |
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"single_word": true,
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| 49 |
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"special": true
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| 50 |
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},
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| 51 |
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"6": {
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| 52 |
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"content": "[بريد]",
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| 53 |
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"lstrip": false,
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| 54 |
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"normalized": true,
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| 55 |
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"rstrip": false,
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| 56 |
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"single_word": true,
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| 57 |
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"special": true
|
| 58 |
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},
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| 59 |
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"7": {
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| 60 |
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"content": "[مستخدم]",
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| 61 |
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"lstrip": false,
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| 62 |
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"normalized": true,
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| 63 |
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"rstrip": false,
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| 64 |
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"single_word": true,
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| 65 |
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"special": true
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| 66 |
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}
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| 67 |
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},
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| 68 |
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"clean_up_tokenization_spaces": true,
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| 69 |
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"cls_token": "[CLS]",
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| 70 |
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"do_basic_tokenize": true,
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| 71 |
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"do_lower_case": false,
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| 72 |
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"mask_token": "[MASK]",
|
| 73 |
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"max_len": 512,
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| 74 |
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"max_length": 512,
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| 75 |
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"model_max_length": 512,
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| 76 |
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"never_split": [
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| 77 |
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"[بريد]",
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| 78 |
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"[مستخدم]",
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| 79 |
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"[رابط]"
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| 80 |
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],
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| 81 |
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"pad_to_multiple_of": null,
|
| 82 |
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"pad_token": "[PAD]",
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| 83 |
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"pad_token_type_id": 0,
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| 84 |
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"padding_side": "right",
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| 85 |
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"sep_token": "[SEP]",
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| 86 |
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"stride": 0,
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| 87 |
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"strip_accents": null,
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| 88 |
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"tokenize_chinese_chars": true,
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| 89 |
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"tokenizer_class": "BertTokenizer",
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| 90 |
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"truncation_side": "right",
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| 91 |
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"truncation_strategy": "longest_first",
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| 92 |
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"unk_token": "[UNK]"
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| 93 |
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}
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vocab.txt
ADDED
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