Instructions to use VMware/t5-small-question-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/t5-small-question-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VMware/t5-small-question-generator") model = AutoModelForSeq2SeqLM.from_pretrained("VMware/t5-small-question-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 630e0a7cd865d9a53bc7883209535ccbaafe916d545a8382446eca7d604b44f2
- Size of remote file:
- 308 MB
- SHA256:
- 01f2009ad102b3bcd93e373909fa16c464784bdddacd2e2fb01249074ae05eeb
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