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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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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The third is the path length between long-range dependencies in the
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example_title: Intent Classify
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language:
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pipeline_tag: text-classification
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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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