Instructions to use vesteinn/DanskBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/DanskBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vesteinn/DanskBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vesteinn/DanskBERT") model = AutoModelForMaskedLM.from_pretrained("vesteinn/DanskBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 072707e1c2f590054fa5883d3add6fb10efe16338860f57877a5956359cf8cfd
- Size of remote file:
- 1.09 MB
- SHA256:
- 5226668718de0dc99d8087af7d07618fb79b6edfe028ad89c7a32576178006b6
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