Transformers
PyTorch
JAX
French
t5
text2text-generation
question-generation
seq2seq
text-generation-inference
Instructions to use JDBN/t5-base-fr-qg-fquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JDBN/t5-base-fr-qg-fquad with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JDBN/t5-base-fr-qg-fquad") model = AutoModelForSeq2SeqLM.from_pretrained("JDBN/t5-base-fr-qg-fquad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30861f9eccb6bedff84f5cc2c66f56bdffebc00f93baf43131b2d4018495ef5f
- Size of remote file:
- 892 MB
- SHA256:
- dd7f7b10217c137b2bfe169989e42c38e859d9200439fbbb5507ab4b10bcb1a7
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