Fill-Mask
Transformers
PyTorch
TensorFlow
JAX
Danish
bert
token-classification
danish
masked-lm
Certainly
Instructions to use Maltehb/danish-bert-botxo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maltehb/danish-bert-botxo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Maltehb/danish-bert-botxo")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Maltehb/danish-bert-botxo") model = AutoModelForTokenClassification.from_pretrained("Maltehb/danish-bert-botxo") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 344443799aa7014e3faa8832a5cbe0caffe6f75bddb6eff67c0c8f4bd2f9421c
- Size of remote file:
- 445 MB
- SHA256:
- 76cafde1885db6758585cc8aa8120cd99214e5836fad32829221ae2deb9e17bf
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