Instructions to use Riksarkivet/bert-base-cased-swe-historical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Riksarkivet/bert-base-cased-swe-historical with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Riksarkivet/bert-base-cased-swe-historical")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Riksarkivet/bert-base-cased-swe-historical") model = AutoModelForMaskedLM.from_pretrained("Riksarkivet/bert-base-cased-swe-historical") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 027fcf155d3fe49265dd08f2e12a6086228dee09b1fe5d1e95d75ea8ebbf7c0f
- Size of remote file:
- 541 MB
- SHA256:
- a2d0e243ce3d735bbeb854318b26451cdda4d4536a26ef24055c631e95e3c311
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