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
Update README.md
Browse files
README.md
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@@ -13,11 +13,11 @@ The model classifies intentions of the scientific text, based on the topic of th
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It categorizes if the context explains the background, result or method of the paper.
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The output classes based on the text are as follows:
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</br>
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</
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Methods and implementation details are classified as <b>method</b>
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</
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</br>
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</br>
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For finetuning, I have used dataset from Cohan et al. https://aclanthology.org/N19-1361.pdf
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It categorizes if the context explains the background, result or method of the paper.
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The output classes based on the text are as follows:
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</br>
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<ul>
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<li>Text describing related work, introduction and uses are classified as <b>background</b></li>
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<li>Methods and implementation details are classified as <b>method</b></li>
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<li>Results and analysis are classified as <b>result</b></li>
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</ul>
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</br>
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</br>
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For finetuning, I have used dataset from Cohan et al. https://aclanthology.org/N19-1361.pdf
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