Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Elron/deberta-v3-large-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elron/deberta-v3-large-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elron/deberta-v3-large-hate", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elron/deberta-v3-large-hate") model = AutoModelForSequenceClassification.from_pretrained("Elron/deberta-v3-large-hate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_accuracy": 0.8208208084106445, | |
| "eval_loss": 0.5872611403465271, | |
| "eval_runtime": 6.1253, | |
| "eval_samples": 999, | |
| "eval_samples_per_second": 163.093, | |
| "eval_steps_per_second": 10.285 | |
| } |