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:
- 620e870ead797ee1c3227bdc716a4875f6c4c8404cb14d19396d600c963e5050
- Size of remote file:
- 5.37 kB
- SHA256:
- fd43904cbe6a6dbe2abb46fdb2bed2d68cee2c97f34920fcd81ec10cbc882cf0
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