Instructions to use EffyLi/bert-base-NER-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EffyLi/bert-base-NER-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EffyLi/bert-base-NER-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EffyLi/bert-base-NER-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("EffyLi/bert-base-NER-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- pytorch_model.bin +1 -1
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
pytorch_model.bin
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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, "max_len": 512, "special_tokens_map_file": "/home/xueli/.cache/huggingface/transformers/8ecdadef2bc275e74e0d4541ae8a5db151fba13174b86dfa88ef5765d30feb77.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "dslim/bert-base-NER", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
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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, "max_len": 512, "grouped_entities": true, "ignore_subwords": true, "special_tokens_map_file": "/home/xueli/.cache/huggingface/transformers/8ecdadef2bc275e74e0d4541ae8a5db151fba13174b86dfa88ef5765d30feb77.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "dslim/bert-base-NER", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
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training_args.bin
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