Instructions to use birgermoell/roberta-swedish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use birgermoell/roberta-swedish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="birgermoell/roberta-swedish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("birgermoell/roberta-swedish") model = AutoModelForMaskedLM.from_pretrained("birgermoell/roberta-swedish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e7a094476d2f60b5de3176efe50c5c3021eca0c4dd9fb25c4f232ab461e970a
- Size of remote file:
- 499 MB
- SHA256:
- b6b946572583061cb4e4e1c0b08f114393c30303a27a20b0447be00c35204dc6
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