Instructions to use Politus/turkish_org_classifier_hand_coded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Politus/turkish_org_classifier_hand_coded with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Politus/turkish_org_classifier_hand_coded")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Politus/turkish_org_classifier_hand_coded") model = AutoModelForSequenceClassification.from_pretrained("Politus/turkish_org_classifier_hand_coded") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c7ea70cfded63d2b8068f9bd9026fe693787848e320bcb3ce8098a7c9be0adc
- Size of remote file:
- 442 MB
- SHA256:
- 895159ab1e3d3a3f9ec1cad206e38a432eb80a149ecbae2441e31cf43396efe9
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