Instructions to use su157/bart-qg-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use su157/bart-qg-german with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("su157/bart-qg-german") model = AutoModelForSeq2SeqLM.from_pretrained("su157/bart-qg-german") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This model is a fine-tuned version of Shahm/bart-german on the GermanQuAD dataset. This is a model for question generation from a text corpus.
The following hyperparameters were used during training:
- learning_rate: 1e-4
- mini_batch_size: 8
- optimizer: Adam
- num_epochs: 3
- scheduler: get_linear_schedule_with_warmup
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