Instructions to use DGurgurov/mbert_dan-latn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DGurgurov/mbert_dan-latn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DGurgurov/mbert_dan-latn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DGurgurov/mbert_dan-latn") model = AutoModelForMaskedLM.from_pretrained("DGurgurov/mbert_dan-latn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2704bfab145a4a4f6c5bc2b1bb2604d45fb71e06a1f9fb90fc9cd200e6340510
- Size of remote file:
- 5.18 kB
- SHA256:
- 71160b812b1ac68a1cc3d833569a3f1f519d777db07a56cf7f682d12dff9f302
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