Text Classification
Transformers
PyTorch
Danish
bert
climate change
climate-classifier
political quotes
klimabert
text-embeddings-inference
Instructions to use jonahank/KlimaBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonahank/KlimaBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonahank/KlimaBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonahank/KlimaBERT") model = AutoModelForSequenceClassification.from_pretrained("jonahank/KlimaBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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### Acknowledgements
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The resources are created through the work of my Master's thesis, so I would like to thank my supervisors [Leon Derczynski](https://www.derczynski.com/itu/) and [Vedran Sekara](https://vedransekara.github.io/) for the great support throughout the project! And a HUGE thanks to [Gustav Gyrst](https://github.com/Gyrst) for great sparring and co-development of the tools you find in this repo.
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### Acknowledgements
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The resources are created through the work of my Master's thesis, so I would like to thank my supervisors [Leon Derczynski](https://www.derczynski.com/itu/) and [Vedran Sekara](https://vedransekara.github.io/) for the great support throughout the project! And a HUGE thanks to [Gustav Gyrst](https://github.com/Gyrst) for great sparring and co-development of the tools you find in this repo.
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### Contact
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For any further help, questions, comments etc. feel free to connect with the author Jonathan Kristensen on [LinkedIn](https://www.linkedin.com/in/jonathan-kristensen-444a96104/) or create a "discussion" on this model's page.
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