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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8258d0e8ae05107eea7944da1592e5cfbb9063a9169650a0ab08821103162af9
- Size of remote file:
- 598 MB
- SHA256:
- b44661058e60585f7b68742c2a5b11f96ac7fa59d2cad539320a3f53e3250873
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