Instructions to use svjack/question_generator_by_en_on_pic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use svjack/question_generator_by_en_on_pic with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("svjack/question_generator_by_en_on_pic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4784f0330a4a109059a71cf7c32d8132e3c95b6f9270de036dc4c39178fe3fdb
- Size of remote file:
- 856 MB
- SHA256:
- 5646f2523980d436cdb45dfba9e899830f430abc61d1d69a3adb06a58aad8549
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