Instructions to use akdeniz27/mDeBERTa-v3-base-turkish-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akdeniz27/mDeBERTa-v3-base-turkish-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="akdeniz27/mDeBERTa-v3-base-turkish-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("akdeniz27/mDeBERTa-v3-base-turkish-ner") model = AutoModelForTokenClassification.from_pretrained("akdeniz27/mDeBERTa-v3-base-turkish-ner") - Notebooks
- Google Colab
- Kaggle
Initial version
Browse files- added_tokens.json +1 -0
- config.json +53 -0
- parameter.json +1 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spm.model +3 -0
- tokenizer_config.json +1 -0
added_tokens.json
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{"[MASK]": 250101}
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config.json
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{
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"_name_or_path": "microsoft/mdeberta-v3-base",
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"architectures": [
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"DebertaV2ForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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": "O",
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"1": "B-ORG",
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"2": "I-ORG",
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"3": "B-LOC",
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"4": "I-LOC",
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"5": "B-PER",
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"6": "I-PER"
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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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"B-LOC": 3,
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"B-ORG": 1,
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"B-PER": 5,
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"I-LOC": 4,
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"I-ORG": 2,
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"I-PER": 6,
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"O": 0
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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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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"pooler_dropout": 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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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.12.5",
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"type_vocab_size": 0,
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"vocab_size": 251000
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}
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parameter.json
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{"dataset": "/content/drive/My Drive/Token_classification_for_Turkish_NER/TurkNER_with_mDeBERTa/", "transformers_model": "microsoft/mdeberta-v3-base", "random_seed": 1234, "lr": 2e-05, "total_step": 5512, "warmup_step": 100, "weight_decay": 0.01, "batch_size": 8, "max_seq_length": 512, "fp16": false, "max_grad_norm": 1.0, "lower_case": false}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2efa727f93fb7fe04ed2a1bc2fb50d59f1045075457e6a0caf0b9cae50895375
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size 1112982831
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special_tokens_map.json
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{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:13c8d666d62a7bc4ac8f040aab68e942c861f93303156cc28f5c7e885d86d6e3
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size 4305025
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tokenizer_config.json
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{"do_lower_case": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "split_by_punct": false, "sp_model_kwargs": {}, "vocab_type": "spm", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "microsoft/mdeberta-v3-base", "tokenizer_class": "DebertaV2Tokenizer"}
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