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modernbert-base-tr-uncased-ner

akdeniz27 / modernbert-base-tr-uncased-ner

Run on huggingface.co
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Total runs: 22
24-hour runs: 1
7-day runs: 2
30-day runs: 15
Model's Last Updated: August 31 2025
token-classification

Introduction of modernbert-base-tr-uncased-ner

Model Details of modernbert-base-tr-uncased-ner

Turkish Named Entity Recognition (NER) Model

This model is the fine-tuned model of "artiwise-ai/modernbert-base-tr-uncased" using a reviewed version of well known Turkish NER dataset ( https://github.com/stefan-it/turkish-bert/files/4558187/nerdata.txt ).

Fine-tuning parameters: 

task = "ner"
model_checkpoint = "artiwise-ai/modernbert-base-tr-uncased"
batch_size = 8 
label_list = ['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC']
max_length = 8192
learning_rate = 2e-5 
num_train_epochs = 5 
weight_decay = 0.01

How to use: 

from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
model = AutoModelForTokenClassification.from_pretrained("akdeniz27/modernbert-base-tr-uncased-ner")
tokenizer = AutoTokenizer.from_pretrained("akdeniz27/modernbert-base-tr-uncased-ner")
# tokenizer.model_max_length = 512 # Model max_length could be set here (max 8192 as default)
ner = pipeline("token-classification", 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: 0.9910922551637875
  • f1: 0.9323197128075177
  • precision: 0.9292780467270049
  • recall: 0.9353813559322034

Runs of akdeniz27 modernbert-base-tr-uncased-ner on huggingface.co

22
Total runs
1
24-hour runs
0
3-day runs
2
7-day runs
15
30-day runs

More Information About modernbert-base-tr-uncased-ner huggingface.co Model

More modernbert-base-tr-uncased-ner license Visit here:

https://choosealicense.com/licenses/mit

modernbert-base-tr-uncased-ner huggingface.co

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modernbert-base-tr-uncased-ner huggingface.co Url

https://huggingface.co/akdeniz27/modernbert-base-tr-uncased-ner

akdeniz27 modernbert-base-tr-uncased-ner online free

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akdeniz27 modernbert-base-tr-uncased-ner online free url in huggingface.co:

https://huggingface.co/akdeniz27/modernbert-base-tr-uncased-ner

modernbert-base-tr-uncased-ner install

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

modernbert-base-tr-uncased-ner install url in huggingface.co:

https://huggingface.co/akdeniz27/modernbert-base-tr-uncased-ner

Url of modernbert-base-tr-uncased-ner

modernbert-base-tr-uncased-ner huggingface.co Url

Provider of modernbert-base-tr-uncased-ner huggingface.co

akdeniz27
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