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")# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (cc8c89e8856e649e5678928aff4a171091e55539) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>903e3a3
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