Instructions to use Joom/questiongenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joom/questiongenerator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Joom/questiongenerator") model = AutoModelForSeq2SeqLM.from_pretrained("Joom/questiongenerator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7998d6f46dc6a199a54f82de2cfa65626f05becf27dd1a8adee333db68fb446
- Size of remote file:
- 164 MB
- SHA256:
- 8e6f4b51dced54cc0213013fe6f404bf8e819e87c5391cd41067edb49b448611
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.