Zero-Shot Classification
Transformers
PyTorch
English
roberta
text-classification
zero-shot
science
mag
Instructions to use BSC-LT/sciroshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-LT/sciroshot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="BSC-LT/sciroshot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BSC-LT/sciroshot") model = AutoModelForSequenceClassification.from_pretrained("BSC-LT/sciroshot") - Notebooks
- Google Colab
- Kaggle
update eacl paper link
Browse files
README.md
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- **Task:** Zero-Shot Text Classification
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- **Data:** Microsoft Academic Graph
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- **Additional Resources:**
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- [Paper](
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- [GitHub](https://github.com/bsc-langtech/sciroshot)
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</details>
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- **Task:** Zero-Shot Text Classification
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- **Data:** Microsoft Academic Graph
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- **Additional Resources:**
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- [Paper](https://aclanthology.org/2023.eacl-main.22/)
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- [GitHub](https://github.com/bsc-langtech/sciroshot)
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</details>
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