Instructions to use Geotrend/bert-base-en-da-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-da-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-da-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-da-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-da-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (58f605ba450e58e53133942d134a45e0f84be4b7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b3fc8cd
-
upload flax model
3f6a31e -
allow flax
aa6c1a6
-
commit from amine
1fc2be9 -
commit from amine
9ad9c6d -
commit from amine
72e8f87 -
initial commit
acfd848