Instructions to use ibm-research/roberta-large-vira-intents with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/roberta-large-vira-intents with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ibm-research/roberta-large-vira-intents")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ibm-research/roberta-large-vira-intents") model = AutoModelForSequenceClassification.from_pretrained("ibm-research/roberta-large-vira-intents", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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metrics:
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## Model Description
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- ibm/vira-intents
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metrics:
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- accuracy
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widget:
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- text: "Should I be concerned about side effects of the vaccine if I'm breastfeeding?} & Is breastfeeding safe with the vaccine"
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example_title: "Breastfeeding"
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- text: "Does the vaccine prevent transmission?"
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example_title: "Transmission"
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- text: "Will the vaccine make me sterile or infertile? "
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example_title: "Infertility"
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## Model Description
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