Instructions to use mrm8488/bert2bert-multilingual_shared-question-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert2bert-multilingual_shared-question-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert2bert-multilingual_shared-question-generation") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/bert2bert-multilingual_shared-question-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d92dadb7424a117d69ed4b1fdd715a521695b212fcb8101ecf9899d6ed3b8730
- Size of remote file:
- 2.22 kB
- SHA256:
- 83900cd7c9eee7567e626c4bf4bbdf558cc6fc0dfb3fb5f84079ac68cc4f8a06
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