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:
- 05f0d79023e791ec4e748fe31d3f7a9cb669e3ac9668f8b58f57553fbf6d418e
- Size of remote file:
- 598 MB
- SHA256:
- 196281b9699e0c31ed86b58647a0245972c7ae9d1c8fa82b0bdce54ae896d3b1
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