Instructions to use microsoft/deberta-v2-xxlarge-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v2-xxlarge-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/deberta-v2-xxlarge-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-v2-xxlarge-mnli") model = AutoModelForSequenceClassification.from_pretrained("microsoft/deberta-v2-xxlarge-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0446ed9be46d0a6c8be7b6e94744c407dd2982326a8288f4c648cb249806c4b8
- Size of remote file:
- 3.13 GB
- SHA256:
- 5b2d8ddf6c80e4e6105b27cdb9fa346a8ba1f0c0dfd410b0007be894567cb4db
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