Feature Extraction
Transformers
PyTorch
TensorFlow
JAX
Safetensors
Danish
bert
text-embeddings-inference
Instructions to use MCFred/bert-base-danish-uncased-certainly-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCFred/bert-base-danish-uncased-certainly-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MCFred/bert-base-danish-uncased-certainly-v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MCFred/bert-base-danish-uncased-certainly-v2") model = AutoModel.from_pretrained("MCFred/bert-base-danish-uncased-certainly-v2") - Notebooks
- Google Colab
- Kaggle
bert-base-danish-uncased-certainly-v2
Model downloaded from https://github.com/certainlyio/nordic_bert
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