Instructions to use DDSC/roberta-base-scandinavian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DDSC/roberta-base-scandinavian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DDSC/roberta-base-scandinavian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DDSC/roberta-base-scandinavian") model = AutoModelForMaskedLM.from_pretrained("DDSC/roberta-base-scandinavian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eba70dfdcfde7f8d95e6c98573644f65008e2f7c300b77c93b7007970763af53
- Size of remote file:
- 499 MB
- SHA256:
- 53b0fb1e8d48a531fbbf9ac2915e8f094a8fcd6ce0f7201f0877978ac3f61465
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