Instructions to use Taekyoon/test_bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taekyoon/test_bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Taekyoon/test_bert_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Taekyoon/test_bert_model") model = AutoModel.from_pretrained("Taekyoon/test_bert_model") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": "/home1/irteam/.cache/huggingface/transformers/e244d5a15f6000349f20464a22e24b0267ea232925c932ead28218ff17015a78-fb598fe7edd664bbb1c4a484e9929c4cbca71d5629e688480982d0cddb121fd4-extracted/bert-110M-larva-text-kr/special_tokens_map.json", "name_or_path": "/home1/irteam/.cache/huggingface/transformers/e244d5a15f6000349f20464a22e24b0267ea232925c932ead28218ff17015a78-fb598fe7edd664bbb1c4a484e9929c4cbca71d5629e688480982d0cddb121fd4-extracted/bert-110M-larva-text-kr", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
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