Zero-Shot Classification
Transformers
PyTorch
ONNX
Safetensors
deberta-v2
text-classification
nli
Eval Results (legacy)
Instructions to use MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7") model = AutoModelForSequenceClassification.from_pretrained("MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
12dfea2
1
Parent(s): e8602b0
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (f05319d93e3a4c88671083c13137726936be08a2)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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