Instructions to use climatebert/distilroberta-base-climate-d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/distilroberta-base-climate-d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="climatebert/distilroberta-base-climate-d")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("climatebert/distilroberta-base-climate-d") model = AutoModelForMaskedLM.from_pretrained("climatebert/distilroberta-base-climate-d") - Notebooks
- Google Colab
- Kaggle
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## Citation Information
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```bibtex
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## Citation Information
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```bibtex
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@inproceedings{wkbl2022climatebert,
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title={{ClimateBERT: A Pretrained Language Model for Climate-Related Text}},
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author={Webersinke, Nicolas and Kraus, Mathias and Bingler, Julia and Leippold, Markus},
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booktitle={Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges},
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year={2022},
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doi={https://doi.org/10.48550/arXiv.2212.13631},
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}
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```
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