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
- Xet hash:
- dba86061d4519fe19727031dffe20bfc114260e733ddd323016bd53a7c7ade3c
- Size of remote file:
- 4 kB
- SHA256:
- ef608dfd6167f6581947a69c83ef8e22d86b25588cf89e311cb86b5234f8ef9b
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