Instructions to use TasmiaAzmi/masked-question-generation-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TasmiaAzmi/masked-question-generation-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TasmiaAzmi/masked-question-generation-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("TasmiaAzmi/masked-question-generation-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f770df727bc518d19892915eaa8f2d1f5aff4dd1e97527bf02013a580a4dfe07
- Size of remote file:
- 3.71 kB
- SHA256:
- ce097830913629016e5df1a46160f28f200edd18e5ed37ffdb25e95218056a81
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