Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Gozde/modernbert-tr-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gozde/modernbert-tr-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gozde/modernbert-tr-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gozde/modernbert-tr-classifier") model = AutoModelForSequenceClassification.from_pretrained("Gozde/modernbert-tr-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 579a0c965cf88b2b3eda8508b06e2a66d520c9745900383b52e26665ad5bb21b
- Size of remote file:
- 5.37 kB
- SHA256:
- 0b34d7281a02f4c56c3e6f7c1419ff0aa866bb246d50fef8aa6f216963e4a34c
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