Instructions to use TunahanGokcimen/ernie-2.0-base-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TunahanGokcimen/ernie-2.0-base-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TunahanGokcimen/ernie-2.0-base-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TunahanGokcimen/ernie-2.0-base-en") model = AutoModelForTokenClassification.from_pretrained("TunahanGokcimen/ernie-2.0-base-en") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +53 -0
- model.safetensors +3 -0
- runs/Jan28_20-38-41_e60506203a75/events.out.tfevents.1706474327.e60506203a75.3449.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "nghuyong/ernie-2.0-base-en",
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"architectures": [
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"ErnieForTokenClassification"
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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": "O",
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"1": "B-DNA",
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"10": "I-RNA",
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"2": "I-DNA",
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"3": "B-protein",
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"4": "I-protein",
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"5": "B-cell_type",
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"6": "I-cell_type",
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"7": "B-cell_line",
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"8": "I-cell_line",
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"9": "B-RNA"
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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-DNA": "1",
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"B-RNA": "9",
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"B-cell_line": "7",
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"B-cell_type": "5",
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"B-protein": "3",
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"I-DNA": "2",
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"I-RNA": "10",
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"I-cell_line": "8",
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"I-cell_type": "6",
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"I-protein": "4",
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"O": "0"
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 512,
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"model_type": "ernie",
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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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"task_type_vocab_size": 3,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"type_vocab_size": 4,
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"use_cache": true,
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"use_task_id": 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 sha256:4b66ac4544dbded02880866124e22a060339d57571d9471db9e8ef4c7d23f2d9
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size 435630100
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runs/Jan28_20-38-41_e60506203a75/events.out.tfevents.1706474327.e60506203a75.3449.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d233256c06e49c8f89423146ff2fae9080041f81e024738cbd95e8734f278e2c
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size 5821
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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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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"single_word": false,
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"special": true
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},
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"100": {
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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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"special": true
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},
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"101": {
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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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"special": true
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},
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"102": {
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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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"special": true
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},
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"103": {
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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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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"full_tokenizer_file": null,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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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
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:fe0439f6008314404b17b589eea872a3bbabe7c67e76c6bf4d41a95c2f6f0774
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size 4600
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vocab.txt
ADDED
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The diff for this file is too large to render.
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