Text Classification
Transformers
Safetensors
English
deberta-v2
character-analysis
plot-arc
narrative-analysis
deberta
Instructions to use Mitchins/deberta-v3-s-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-s-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-s-plot-arc-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mitchins/deberta-v3-s-plot-arc-classifier") model = AutoModelForSequenceClassification.from_pretrained("Mitchins/deberta-v3-s-plot-arc-classifier") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- dd414d7c9e3cbb4f1d78952b7138b6f85b3d6de5c0f4bd621c14783849e266b2
- Size of remote file:
- 144 kB
- SHA256:
- baddea324208244b82249a69e81a809df078b2cfcaafffa65eb4bf9922575513
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