Instructions to use rooftopcoder/bart-base-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/bart-base-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/bart-base-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/bart-base-coqa") - Notebooks
- Google Colab
- Kaggle
bart-base-coqa / runs /May10_18-31-29_1a6e58a818b7 /1683743653.275993 /events.out.tfevents.1683743653.1a6e58a818b7.1457.2
- Xet hash:
- 320dca0a42dee0fc0df5e72ffa16c7900c253e4af036132cf9b9afe9a7aacc0f
- Size of remote file:
- 6.16 kB
- SHA256:
- b96df8a9383f9f5478dcf89524f96c61cc231a47db61e9e5aca7afc39af99ed4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.