Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use domenicrosati/deberta-v3-large-model-edit-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use domenicrosati/deberta-v3-large-model-edit-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="domenicrosati/deberta-v3-large-model-edit-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("domenicrosati/deberta-v3-large-model-edit-classifier") model = AutoModelForSequenceClassification.from_pretrained("domenicrosati/deberta-v3-large-model-edit-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle