Instructions to use deepset/gbert-base-germandpr-reranking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gbert-base-germandpr-reranking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deepset/gbert-base-germandpr-reranking")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deepset/gbert-base-germandpr-reranking") model = AutoModelForSequenceClassification.from_pretrained("deepset/gbert-base-germandpr-reranking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (a640694ffa4da290a0357a611981bbdb09e2a5c9) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>9a87f09
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Converted FARM model to transformers
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FARM model converted to transformers
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First version of the gbert-base-germandpr-reranking model and tokenizer.
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initial commit
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