Instructions to use sdadas/polish-distilroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdadas/polish-distilroberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sdadas/polish-distilroberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sdadas/polish-distilroberta") model = AutoModelForMaskedLM.from_pretrained("sdadas/polish-distilroberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 924e8b35ccd252dd3ded0f73b0fec04b44352f5b67b37e8b49afd7e96f47a96e
- Size of remote file:
- 328 MB
- SHA256:
- e1af009dab212e9a88189d51bd198f43b0f72f750f105f8a1689e1da3027b49f
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