Instructions to use wanyu/IteraTeR-ROBERTA-Intention-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wanyu/IteraTeR-ROBERTA-Intention-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wanyu/IteraTeR-ROBERTA-Intention-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wanyu/IteraTeR-ROBERTA-Intention-Classifier") model = AutoModelForSequenceClassification.from_pretrained("wanyu/IteraTeR-ROBERTA-Intention-Classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -12,7 +12,7 @@ Authors: Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dong
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## Edit Intention Prediction Task
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Given a pair of original sentence and revised sentence, our model can predict the edit intention for this revision pair.<br>
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More specifically, the model will predict the probability of the following edit intentions:
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<table
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<tr>
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<th>Edit Intention</th>
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<th>Definition</th>
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## Edit Intention Prediction Task
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| 13 |
Given a pair of original sentence and revised sentence, our model can predict the edit intention for this revision pair.<br>
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| 14 |
More specifically, the model will predict the probability of the following edit intentions:
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<table>
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<tr>
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<th>Edit Intention</th>
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<th>Definition</th>
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