akdeniz27 / bert-base-hungarian-cased-ner

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Model's Last Updated: June 18 2024
token-classification

Introduction of bert-base-hungarian-cased-ner

Model Details of bert-base-hungarian-cased-ner

Hungarian Named Entity Recognition (NER) Model

This model is the fine-tuned model of "SZTAKI-HLT/hubert-base-cc" using the famous WikiANN dataset presented in the "Cross-lingual Name Tagging and Linking for 282 Languages" paper .

Fine-tuning parameters:

task = "ner"
model_checkpoint = "SZTAKI-HLT/hubert-base-cc"
batch_size = 8 
label_list = ['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC']
max_length = 512 
learning_rate = 2e-5 
num_train_epochs = 3 
weight_decay = 0.01 

How to use:

model = AutoModelForTokenClassification.from_pretrained("akdeniz27/bert-base-hungarian-cased-ner")
tokenizer = AutoTokenizer.from_pretrained("akdeniz27/bert-base-hungarian-cased-ner")
ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
ner("<your text here>")

Pls refer " https://huggingface.co/transformers/_modules/transformers/pipelines/token_classification.html " for entity grouping with aggregation_strategy parameter.

Reference test results:

  • accuracy: 0.9774538310923768
  • f1: 0.9462099085573904
  • precision: 0.9425718667406271
  • recall: 0.9498761426661113

Runs of akdeniz27 bert-base-hungarian-cased-ner on huggingface.co

38
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24-hour runs
4
3-day runs
13
7-day runs
32
30-day runs

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bert-base-hungarian-cased-ner install

bert-base-hungarian-cased-ner is an open source model from GitHub that offers a free installation service, and any user can find bert-base-hungarian-cased-ner on GitHub to install. At the same time, huggingface.co provides the effect of bert-base-hungarian-cased-ner install, users can directly use bert-base-hungarian-cased-ner installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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