Instructions to use versae/roberta-base-scand-xlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/roberta-base-scand-xlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="versae/roberta-base-scand-xlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("versae/roberta-base-scand-xlm") model = AutoModelForMaskedLM.from_pretrained("versae/roberta-base-scand-xlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 397ba4636102e15db52c8e34a007b3ffc9b6d627df1c2d3e5d74a8b510bb9d04
- Size of remote file:
- 1.11 GB
- SHA256:
- 1b0cc0d7699a3e1989a22c62084602a6d350d6232c22d1157ee9c3186e0ca8c6
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