Instructions to use emi08/maske with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emi08/maske with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emi08/maske")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emi08/maske") model = AutoModelForTokenClassification.from_pretrained("emi08/maske", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -133,7 +133,7 @@ Tokenleştirici e-posta adreslerini `@` ve `.` çevresinde alt parçalara böld
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| Taban model | [ytu-ce-cosmos/modernbert-tr-base](https://huggingface.co/ytu-ce-cosmos/modernbert-tr-base) (Apache-2.0) |
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| Gövde | WikiANN-tr ince ayarından taşınan ağırlıklar; 19 etiket için yeniden başlatılan baş |
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| Veri | 8.000 sentetik KVKK cümlesi (~%40 varlık yoğunluğu, sağlama toplamlı değerler) + 20.000 WikiANN-tr replay |
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| Bölme | 28.000 eğitim / 11.000 doğrulama (karışımdan sonra) |
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| Hiperparametreler | 3 epok, LR 2e-5, batch 16, max_len 192, fp32, tek T4 |
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| Seçim | Doğrulama F1'i en iyi kontrol noktası |
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### ⚖️ Lisans
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Apache-2.0. Taban model [ytu-ce-cosmos/modernbert-tr-base](https://huggingface.co/ytu-ce-cosmos/modernbert-tr-base) Apache-2.0 lisanslıdır; WikiANN katkısı gümüş (otomatik) etiket içerir. Eğitim veri kümesi (
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## 🇬🇧 English
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| Base model | [ytu-ce-cosmos/modernbert-tr-base](https://huggingface.co/ytu-ce-cosmos/modernbert-tr-base) (Apache-2.0) |
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| Body | Weights carried from a WikiANN-tr fine-tune; head re-initialized for 19 labels |
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| Data | 8,000 synthetic KVKK sentences (~40% entity density, checksum-valid values) + 20,000 WikiANN-tr replay |
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| Splits | 28,000 train / 11,000 val after mixing |
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| Hyperparameters | 3 epochs, LR 2e-5, batch 16, max_len 192, fp32, single T4 |
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| Selection | Best checkpoint by validation F1 |
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### License
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Apache-2.0. Base model [ytu-ce-cosmos/modernbert-tr-base](https://huggingface.co/ytu-ce-cosmos/modernbert-tr-base) is Apache-2.0; the WikiANN contribution contains silver (auto-generated) labels. The training dataset (
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| --- | --- |
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| Taban model | [ytu-ce-cosmos/modernbert-tr-base](https://huggingface.co/ytu-ce-cosmos/modernbert-tr-base) (Apache-2.0) |
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| Gövde | WikiANN-tr ince ayarından taşınan ağırlıklar; 19 etiket için yeniden başlatılan baş |
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| Veri | [8.000 sentetik KVKK cümlesi](https://huggingface.co/datasets/emi08/maske-kvkk-synth) (~%40 varlık yoğunluğu, sağlama toplamlı değerler) + 20.000 WikiANN-tr replay |
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| Bölme | 28.000 eğitim / 11.000 doğrulama (karışımdan sonra) |
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| Hiperparametreler | 3 epok, LR 2e-5, batch 16, max_len 192, fp32, tek T4 |
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| Seçim | Doğrulama F1'i en iyi kontrol noktası |
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### ⚖️ Lisans
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+
Apache-2.0. Taban model [ytu-ce-cosmos/modernbert-tr-base](https://huggingface.co/ytu-ce-cosmos/modernbert-tr-base) Apache-2.0 lisanslıdır; WikiANN katkısı gümüş (otomatik) etiket içerir. Eğitim veri kümesi [emi08/maske-kvkk-synth](https://huggingface.co/datasets/emi08/maske-kvkk-synth) herkese açıktır.
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## 🇬🇧 English
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| --- | --- |
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| Base model | [ytu-ce-cosmos/modernbert-tr-base](https://huggingface.co/ytu-ce-cosmos/modernbert-tr-base) (Apache-2.0) |
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| Body | Weights carried from a WikiANN-tr fine-tune; head re-initialized for 19 labels |
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| Data | [8,000 synthetic KVKK sentences](https://huggingface.co/datasets/emi08/maske-kvkk-synth) (~40% entity density, checksum-valid values) + 20,000 WikiANN-tr replay |
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| Splits | 28,000 train / 11,000 val after mixing |
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| Hyperparameters | 3 epochs, LR 2e-5, batch 16, max_len 192, fp32, single T4 |
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| Selection | Best checkpoint by validation F1 |
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### License
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Apache-2.0. Base model [ytu-ce-cosmos/modernbert-tr-base](https://huggingface.co/ytu-ce-cosmos/modernbert-tr-base) is Apache-2.0; the WikiANN contribution contains silver (auto-generated) labels. The training dataset [emi08/maske-kvkk-synth](https://huggingface.co/datasets/emi08/maske-kvkk-synth) is public.
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