Instructions to use microsoft/deberta-base-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-base-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/deberta-base-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-base-mnli") model = AutoModelForSequenceClassification.from_pretrained("microsoft/deberta-base-mnli") - Inference
- Notebooks
- Google Colab
- Kaggle
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language: en
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tags:
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tasks: mnli
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thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
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license: mit
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language: en
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tags:
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- deberta-v1
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- deberta-mnli
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tasks: mnli
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thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
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license: mit
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