Instructions to use puzzz21/sci-intent-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use puzzz21/sci-intent-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="puzzz21/sci-intent-classify")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("puzzz21/sci-intent-classify") model = AutoModelForSequenceClassification.from_pretrained("puzzz21/sci-intent-classify") - Notebooks
- Google Colab
- Kaggle
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README.md
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example_title: "
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- text: "Barack Obama nominated Hilary Clinton as his secretary of state on Monday. He chose her because she had ..."
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example_title: "Coreference resolution"
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- text: "On a shelf, there are five books: a gray book, a red book, a purple book, a blue book, and a black book ..."
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example_title: "Logic puzzles"
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- text: "The two men running to become New York City's next mayor will face off in their first debate Wednesday night ..."
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example_title: "Reading comprehension"
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This model classifies intentions of the scientific text, i.e text from scientific journals based on their context.
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It categorizes if the context explains the background, result or method of the paper.
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- text: "The third is the path length between long-range dependencies in the network. "
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example_title: "Intent Classify"
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---
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This model classifies intentions of the scientific text, i.e text from scientific journals based on their context.
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It categorizes if the context explains the background, result or method of the paper.
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