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README.md
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license: mit
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language:
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- en
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datasets:
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tags:
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- fact-checking
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- climate
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- text entailment
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This model fine-tuned ClimateBert on the textual entailment task. Given (claim, evidence) pairs, the model predicts support (entailment), refute (contradict), or not enough info (neutral).
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```python
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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license: mit
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language:
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- en
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datasets: climate_fever
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tags:
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- fact-checking
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- climate
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- text entailment
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This model fine-tuned [ClimateBert](https://huggingface.co/climatebert/distilroberta-base-climate-f) on the textual entailment task using Climate FEVER data. Given (claim, evidence) pairs, the model predicts support (entailment), refute (contradict), or not enough info (neutral). The model has 67% validation accuracy.
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```python
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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