Fill-Mask
Transformers
Safetensors
English
modernbert
climate
domain-adaptation
continued-pretraining
synthetic-data
Instructions to use CMB-ClimateModernBERT/S_CX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CMB-ClimateModernBERT/S_CX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CMB-ClimateModernBERT/S_CX")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CMB-ClimateModernBERT/S_CX") model = AutoModelForMaskedLM.from_pretrained("CMB-ClimateModernBERT/S_CX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model card
Browse files
README.md
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Pretraining.** Preprint manuscript, currently under review — no venue, DOI or arXiv
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identifier yet, and no citation to give. The PDF is hosted in the project repository.
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- Project website: https://
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- Code and pipelines: https://github.com/
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- Full model catalog: https://github.com/
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- Naming guide: https://github.com/
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## License
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Pretraining.** Preprint manuscript, currently under review — no venue, DOI or arXiv
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identifier yet, and no citation to give. The PDF is hosted in the project repository.
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- Project website: https://climatemodernbert.github.io/ClimateModernBERT/
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- Code and pipelines: https://github.com/ClimateModernBERT/ClimateModernBERT
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- Full model catalog: https://github.com/ClimateModernBERT/ClimateModernBERT/blob/main/docs/model-inventory.md
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- Naming guide: https://github.com/ClimateModernBERT/ClimateModernBERT/blob/main/docs/model-naming.md
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## License
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