Instructions to use deepset/gbert-base-germandpr-question_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gbert-base-germandpr-question_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepset/gbert-base-germandpr-question_encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepset/gbert-base-germandpr-question_encoder") model = AutoModel.from_pretrained("deepset/gbert-base-germandpr-question_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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- Adding `safetensors` variant of this model (facc08d0f56b743bbd8f06c44940bc797a2f54cb) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>594ce66
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