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")# 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") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
e548b7c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1d51a6346f9d437f9618a3181eab7731539743327c8838e130cee06dfe2fa270
size 439806591
|