Instructions to use xqewec/title_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xqewec/title_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xqewec/title_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xqewec/title_classifier") model = AutoModelForSequenceClassification.from_pretrained("xqewec/title_classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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title: Generating Approximate Solutions to the TTP using a Linear Distance Relaxation
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cat: cs.AI
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title: The ASHRAE Great Energy Predictor III competition: Overview and results
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cat: cs.CY
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title: Debugging Neural Machine Translations
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cat: cs.CL
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metrics:
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Examples:
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title: Generating Approximate Solutions to the TTP using a Linear Distance Relaxation
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cat: cs.AI
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title: The ASHRAE Great Energy Predictor III competition: Overview and results
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cat: cs.CY
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title: Debugging Neural Machine Translations
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cat: cs.CL
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