Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Elron/deberta-v3-large-offensive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elron/deberta-v3-large-offensive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elron/deberta-v3-large-offensive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elron/deberta-v3-large-offensive") model = AutoModelForSequenceClassification.from_pretrained("Elron/deberta-v3-large-offensive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_accuracy": 0.8639534711837769, | |
| "eval_loss": 0.37321123480796814, | |
| "eval_runtime": 5.5359, | |
| "eval_samples_per_second": 155.35, | |
| "eval_steps_per_second": 9.755, | |
| "test_samples": 860 | |
| } |