Instructions to use tasksource/deberta-base-long-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tasksource/deberta-base-long-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="tasksource/deberta-base-long-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tasksource/deberta-base-long-nli") model = AutoModelForSequenceClassification.from_pretrained("tasksource/deberta-base-long-nli") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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| anli/a2 | 47.2 |
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| anli/a3 | 49.4 |
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| nli_fever | 79.4 |
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| fever-evidence-related | 99.4 |
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| folio | 61.8 |
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| ConTRoL-nli | 63.3 |
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| cladder | 71.1 |
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| anli/a2 | 47.2 |
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| anli/a3 | 49.4 |
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| nli_fever | 79.4 |
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| folio | 61.8 |
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| ConTRoL-nli | 63.3 |
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| cladder | 71.1 |
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