Instructions to use sdadas/polish-roberta-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdadas/polish-roberta-large-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sdadas/polish-roberta-large-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sdadas/polish-roberta-large-v2") model = AutoModelForMaskedLM.from_pretrained("sdadas/polish-roberta-large-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75285203598cec6ac7b2304f14783478fbccfd0edbaf6fb2abce42cf886b5e13
- Size of remote file:
- 1.74 GB
- SHA256:
- 56de033f7dcfd9d8437afd2e78eb84bc8a3f5609bab1a45c99a53842a82abf2d
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