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mDeBERTa-v3-base-mnli-xnli
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update readme with easier zeroshot code

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Moritz Laurer 2022-09-25 18:34:23 +00:00 committed by huggingface-web
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README.md
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@ -38,8 +38,18 @@ This multilingual model can perform natural language inference (NLI) on 100 lang
As of December 2021, mDeBERTa-base is the best performing multilingual base-sized transformer model, introduced by Microsoft in [this paper](https://arxiv.org/pdf/2111.09543.pdf).
## Intended uses & limitations
#### How to use the model
### How to use the model
#### Simple zero-shot classification pipeline
```python
from transformers import pipeline
classifier = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-mnli-xnli")
sequence_to_classify = "Angela Merkel ist eine Politikerin in Deutschland und Vorsitzende der CDU"
candidate_labels = ["politics", "economy", "entertainment", "environment"]
output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
print(output)
```
#### NLI use-case
```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch