Instructions to use alexanderfalk/danbert-small-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexanderfalk/danbert-small-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alexanderfalk/danbert-small-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alexanderfalk/danbert-small-cased") model = AutoModelForMaskedLM.from_pretrained("alexanderfalk/danbert-small-cased") - Notebooks
- Google Colab
- Kaggle
Commit History
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Merge branch 'main' of https://huggingface.co/alexanderfalk/danbert-small-cased into main c053c06
Alexander Falk commited on
Removed training_args.bin c75ab0c
Alexander Falk commited on
Update README.md 3ef661f
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Update README.md 843ebaa
Update README.md 40888bc
Set inference to false 0c02ee4
Model uploading 7c14553
Alexander Falk commited on