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:
- a4913991347be285087045cb3b6737cc44df6ec0a995d84b524af19c910dae51
- Size of remote file:
- 828 MB
- SHA256:
- 954e37bc127eb634e282294c32bee44655e69be9c5137abb4b4d5cc8e2c4e127
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