Instructions to use dbmdz/bert-base-german-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/bert-base-german-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbmdz/bert-base-german-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-german-cased") model = AutoModelForMaskedLM.from_pretrained("dbmdz/bert-base-german-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Request: DOI
2
#4 opened over 1 year ago
by
Farnod95
[AUTOMATED] Model Memory Requirements
#3 opened almost 2 years ago
by
model-sizer-bot
Adding ONNX file of this model
#2 opened over 2 years ago
by
Mesc70