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
Commit ·
a80a6eb
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Parent(s): 5dfe04b
Addition of Rust model
Browse files- rust_model.ot +3 -0
rust_model.ot
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3075b64720952dbb968398741968d4f8ce1d803b6ba2e7cf9a880c69d324b99
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size 556842227
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