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/472da54afd083346f2f34a67630b6de97652fdbd/pytorch_model.bin
- Command line
-
hf download hf://rooftopcoder/bart-base-coqa@472da54afd083346f2f34a67630b6de97652fdbd/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rooftopcoder/bart-base-coqa/resolve/472da54afd083346f2f34a67630b6de97652fdbd/pytorch_model.bin
558 MB
- Xet hash:
- 4a8dbdb3d6cd5d6648e321db91b1ac3ae252d5068b5cb84c35aef256fb29a7d9
- Size of remote file:
- 558 MB
- SHA256:
- eb1e3fea4c550e474af28fba3ca03a2090bb420d824237f2e10c261498ea1d63
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