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
- Xet hash:
- c622008e3c0ecfdb40ea5fc25c02433de25478e7b6e4287906c9669adb6851a7
- Size of remote file:
- 504 MB
- SHA256:
- 5fe4a52fa8f399d17dc596382a50223c7deb99f4f8596a18bc1314d9946960d0
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