Instructions to use McGill-NLP/bart-qg-mlquestions-selftraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use McGill-NLP/bart-qg-mlquestions-selftraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("McGill-NLP/bart-qg-mlquestions-selftraining") model = AutoModelForSeq2SeqLM.from_pretrained("McGill-NLP/bart-qg-mlquestions-selftraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99758e18ebb1970717f124d43aaa26a59657d47af141fad52df7eea11ab44f66
- Size of remote file:
- 558 MB
- SHA256:
- e2be2c72bc219f0d937edc345d22a449123bc4bfddebf4265e5ee326eb63e497
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