Zero-Shot Classification
Transformers
PyTorch
Portuguese
deberta-v2
text-classification
deberta-v3
zero-shot
Instructions to use Mel-Iza0/zero-shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mel-Iza0/zero-shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Mel-Iza0/zero-shot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mel-Iza0/zero-shot") model = AutoModelForSequenceClassification.from_pretrained("Mel-Iza0/zero-shot") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:0873e0b41ffbdf6347ea45978a821f1b112f6c00515aec601df2a2c6bb35ad48
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size 737726548
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