Instructions to use gurkan08/bert-turkish-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gurkan08/bert-turkish-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gurkan08/bert-turkish-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gurkan08/bert-turkish-text-classification") model = AutoModelForSequenceClassification.from_pretrained("gurkan08/bert-turkish-text-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44feec580eb0eaabda89f60427fa9a5085d1edd12014a312d3bb75a84933309d
- Size of remote file:
- 442 MB
- SHA256:
- 926d00f09445f904c5c4e61dd21ec14be8e373e6573a5ebd3458addd3e5af331
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