Instructions to use dhmeltzer/bart-large_askscience-qg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhmeltzer/bart-large_askscience-qg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dhmeltzer/bart-large_askscience-qg") model = AutoModelForSeq2SeqLM.from_pretrained("dhmeltzer/bart-large_askscience-qg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be4786921f9b298b5d64f02855f213486ab364348aebed76717c9d7fc7868f5
- Size of remote file:
- 1.63 GB
- SHA256:
- 2d6adb4f56e9dcccb9adfd2f86235a76bbdb832c4614b4afb02455d32a4a279e
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