Instructions to use KennethTM/bert-base-uncased-danish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KennethTM/bert-base-uncased-danish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KennethTM/bert-base-uncased-danish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KennethTM/bert-base-uncased-danish") model = AutoModelForMaskedLM.from_pretrained("KennethTM/bert-base-uncased-danish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ef62499a17b97bbb62271168c98ac118476c3947befe9b9cd53c8563f680e56
- Size of remote file:
- 438 MB
- SHA256:
- 6dd7dcfb0e4ab558a95d931a671cd75b482a76682ec02feb7d86b6105f6bc5de
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