Text Classification
Transformers
Safetensors
English
deberta
snli
natural-language-inference
sequence-classification
Eval Results (legacy)
Instructions to use Lidor-Mashiach/deberta-large-snli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lidor-Mashiach/deberta-large-snli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lidor-Mashiach/deberta-large-snli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lidor-Mashiach/deberta-large-snli") model = AutoModelForSequenceClassification.from_pretrained("Lidor-Mashiach/deberta-large-snli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": "DeBERTa-large", | |
| "dataset": "SNLI", | |
| "validation_accuracy": 0.9358870148343833, | |
| "validation_examples": 9842, | |
| "validation_split": "validation", | |
| "test_accuracy": 0.9276262214983714, | |
| "test_examples": 9824, | |
| "test_split": "test" | |
| } |