Instructions to use clarin-pl/roberta-polish-kgr10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clarin-pl/roberta-polish-kgr10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="clarin-pl/roberta-polish-kgr10")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("clarin-pl/roberta-polish-kgr10") model = AutoModelForMaskedLM.from_pretrained("clarin-pl/roberta-polish-kgr10") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Work in Progress Polish RoBERTa
The model has been trained for about 5% time of the target. We will publish new increments as they will be trained.
The model pre-trained on KGR10 corpora.
More about model at CLARIN-dspace
Usage
Huggingface model hub
Acknowledgments
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