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
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README.md
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## Hyperparameters
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batch_size =
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n_epochs = 2
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max_seq_len = 512 tokens for question and passage concatenated
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learning_rate = 2e-5
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## Hyperparameters
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```
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batch_size = 16
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n_epochs = 2
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max_seq_len = 512 tokens for question and passage concatenated
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learning_rate = 2e-5
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