Text Classification
Transformers
Safetensors
English
deberta-v2
character-analysis
plot-arc
narrative-analysis
deberta-v3
binary-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use Mitchins/deberta-v3-xs-plot-arc-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitchins/deberta-v3-xs-plot-arc-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mitchins/deberta-v3-xs-plot-arc-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mitchins/deberta-v3-xs-plot-arc-classifier") model = AutoModelForSequenceClassification.from_pretrained("Mitchins/deberta-v3-xs-plot-arc-classifier") - Notebooks
- Google Colab
- Kaggle
Ctrl+K