Instructions to use manuu01/DeBERTa-SeagullStory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manuu01/DeBERTa-SeagullStory with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manuu01/DeBERTa-SeagullStory")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manuu01/DeBERTa-SeagullStory") model = AutoModelForSequenceClassification.from_pretrained("manuu01/DeBERTa-SeagullStory") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli further trained on a custom dataset for SeagullStory space
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