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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/bart-base-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/bart-base-coqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rooftopcoder/bart-base-coqa: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/rooftopcoder/bart-base-coqa/resolve/481e99a60c1b60bcb2fb15322342ca40c7facd68/pytorch_model.bin
- Command line
-
hf download hf://rooftopcoder/bart-base-coqa@481e99a60c1b60bcb2fb15322342ca40c7facd68/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rooftopcoder/bart-base-coqa/resolve/481e99a60c1b60bcb2fb15322342ca40c7facd68/pytorch_model.bin
558 MB
- Xet hash:
- cfb2f682d86d5fe934e195bde8295ae6d502491ba7ce71bdf3026d679ba7569f
- Size of remote file:
- 558 MB
- SHA256:
- d9d44b038ff76291b7aed6a9b601cba5083ea5360c4f92d4d8634bf571a1a0cf
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