Instructions to use Recognai/zeroshot_selectra_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Recognai/zeroshot_selectra_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Recognai/zeroshot_selectra_medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Recognai/zeroshot_selectra_medium") model = AutoModelForSequenceClassification.from_pretrained("Recognai/zeroshot_selectra_medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- text: "El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo"
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candidate_labels: "cultura, sociedad, economia, salud, deportes"
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---
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# Zero-shot SELECTRA: A zero-shot classifier based on SELECTRA
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widget:
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- text: "El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo"
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candidate_labels: "cultura, sociedad, economia, salud, deportes"
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hypothesis_template: "Este ejemplo es {}."
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---
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# Zero-shot SELECTRA: A zero-shot classifier based on SELECTRA
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