Instructions to use gaetangate/bart-large_genrl_lcquad1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaetangate/bart-large_genrl_lcquad1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gaetangate/bart-large_genrl_lcquad1") model = AutoModelForSeq2SeqLM.from_pretrained("gaetangate/bart-large_genrl_lcquad1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85eed59c2babeca159b112b4579c31a6cbca12dfb9e1d45e442f60768a019507
- Size of remote file:
- 1.63 GB
- SHA256:
- 206e09096f5a4eced41a90863d782a0e821b365ee7421951e37d83e0139ab97c
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