Instructions to use KBLab/roberta-base-swedish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/roberta-base-swedish-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KBLab/roberta-base-swedish-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KBLab/roberta-base-swedish-cased") model = AutoModelForMaskedLM.from_pretrained("KBLab/roberta-base-swedish-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a4ec5bccb67abdb18e2523484d8e856a89217c8a95b48991b2513180f330069
- Size of remote file:
- 504 MB
- SHA256:
- 69c4fad977b9159f0c8da334004076e0f3a8e50f33762e8dd991456f49471188
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