Instructions to use google-bert/bert-base-german-dbmdz-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-german-dbmdz-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-german-dbmdz-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-german-dbmdz-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-german-dbmdz-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add reference to same model with model card
#1
by Marissa - opened
README.md
CHANGED
|
@@ -2,3 +2,5 @@
|
|
| 2 |
language: de
|
| 3 |
license: mit
|
| 4 |
---
|
|
|
|
|
|
|
|
|
| 2 |
language: de
|
| 3 |
license: mit
|
| 4 |
---
|
| 5 |
+
|
| 6 |
+
This model is the same as [dbmdz/bert-base-german-cased](https://huggingface.co/dbmdz/bert-base-german-cased). See the [dbmdz/bert-base-german-cased model card](https://huggingface.co/dbmdz/bert-base-german-cased) for details on the model.
|