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:
- 27c0aa6c718f9d479e092e24e2802e2cb97eb757f56ff255c2aefdbe53c062cd
- Size of remote file:
- 541 MB
- SHA256:
- c3fd0498cf58888f37a21d980c1d0da44c6e976edc0e23f0d7846e8650cc145d
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