Text Classification
Transformers
PyTorch
Turkish
bert
Text Classification
Transformers
turkish
text-embeddings-inference
Instructions to use Marzu39/bert-turkish-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marzu39/bert-turkish-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Marzu39/bert-turkish-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Marzu39/bert-turkish-text-classification") model = AutoModelForSequenceClassification.from_pretrained("Marzu39/bert-turkish-text-classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:4220cb7639b40003e310e6172410d8b884f174368282e60d81a3410a72cedea8
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size 737418340
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