Text Classification
Transformers
Safetensors
distilbert
sifter
redrob
reranker
reward-model
recruitment
explainable-ai
human-feedback
Eval Results (legacy)
text-embeddings-inference
Instructions to use shikharshahi/sifter-redrob-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shikharshahi/sifter-redrob-reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shikharshahi/sifter-redrob-reranker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shikharshahi/sifter-redrob-reranker") model = AutoModelForSequenceClassification.from_pretrained("shikharshahi/sifter-redrob-reranker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 230
Browse files- config.json +17 -29
- model.safetensors +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +6 -15
- training_args.bin +2 -2
config.json
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{
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"architectures": [
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"
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],
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"
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"bos_token_id":
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"dtype": "float32",
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"eos_token_id":
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"
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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-07,
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"legacy": true,
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"max_position_embeddings": 512,
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"
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"
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"
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"pooler_dropout": 0.0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"problem_type": "regression",
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"
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"
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"tie_word_embeddings": true,
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"transformers_version": "5.
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"type_vocab_size": 0,
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"use_cache": false,
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"vocab_size":
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}
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{
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"bos_token_id": null,
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"dim": 768,
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"dropout": 0.1,
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"dtype": "float32",
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"eos_token_id": null,
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"hidden_dim": 3072,
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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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"label2id": {
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"LABEL_0": 0
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "regression",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.9.0",
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"use_cache": false,
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"vocab_size": 30522
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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:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:720f8bb680cf3bba186cc7076140420dc80731f603c402ee544b80fc20a0ff9a
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size 267829484
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"backend": "tokenizers",
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case":
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"eos_token": "[SEP]",
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"extra_special_tokens": [
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"[PAD]",
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"[CLS]",
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"[SEP]"
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],
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"is_local": false,
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"local_files_only": false,
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"mask_token": "[MASK]",
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"model_max_length":
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"
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"
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"
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"unk_token": "[UNK]"
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"vocab_type": "spm"
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}
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{
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"backend": "tokenizers",
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"is_local": false,
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"local_files_only": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ebf36d1e70983af6f137ca4e8b77a12d819b6d5fe91ba06bb4978ce9b2f2ed7
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size 5329
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