Text Classification
Transformers
Safetensors
Turkish
bert
ABSA
Sentiment
Transformer
BERT
Turkish
text-embeddings-inference
Instructions to use ebrukilic/bert-absa-tr-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebrukilic/bert-absa-tr-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ebrukilic/bert-absa-tr-v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ebrukilic/bert-absa-tr-v4") model = AutoModelForSequenceClassification.from_pretrained("ebrukilic/bert-absa-tr-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- **Model tipi:** BERT tabanlı Transformer (Sequence Classification için fine-tuned)
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- **Dil:** Türkçe
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- **Lisans:** CC BY-NC 4.0
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- **Finetuned from:** bert-base-
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## Model Bilgileri
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- **Model tipi:** BERT tabanlı Transformer (Sequence Classification için fine-tuned)
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- **Dil:** Türkçe
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- **Lisans:** CC BY-NC 4.0
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- **Finetuned from:** dbmdz/bert-base-turkish-cased
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## Model Bilgileri
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