Instructions to use MrPio/TheSeagullStory-nli-deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrPio/TheSeagullStory-nli-deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrPio/TheSeagullStory-nli-deberta-v3-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrPio/TheSeagullStory-nli-deberta-v3-base") model = AutoModelForSequenceClassification.from_pretrained("MrPio/TheSeagullStory-nli-deberta-v3-base") - Notebooks
- Google Colab
- Kaggle
Model of repository The-Seagull-Story
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Model tree for MrPio/TheSeagullStory-nli-deberta-v3-base
Base model
microsoft/deberta-v3-base Quantized
cross-encoder/nli-deberta-v3-base