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:
# pip install -U transformers accelerate # 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
Commit History
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Librarian Bot: Update dataset YAML metadata for model
This is a pull request to add a dataset, [`iarfmoose/question_generator`](https://huggingface.co/datasets/iarfmoose/question_generator), to the metadata for your model (defined in the `YAML` block of your model's `README.md`). The pull request was made by [librarian-bot](https://huggingface.co/librarian-bot) and used a combination of rules and/or machine learning to suggest this additional metadata. If this suggestion is incorrect, feel free to close this pull request. Librarian Bot was made by [@davanstrien](https://huggingface.co/davanstrien); feel free to get in touch with feedback.b25730e
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Update Model Card
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Update Model Card
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Model Card
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Initial upload
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initial commit
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