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 training_args.bin from rooftopcoder/bart-base-coqa: direct link, hf CLI and curl.
- Browser
- Download file 4.08 kB
-
https://huggingface.co/rooftopcoder/bart-base-coqa/resolve/472da54afd083346f2f34a67630b6de97652fdbd/training_args.bin
- Command line
-
hf download hf://rooftopcoder/bart-base-coqa@472da54afd083346f2f34a67630b6de97652fdbd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rooftopcoder/bart-base-coqa/resolve/472da54afd083346f2f34a67630b6de97652fdbd/training_args.bin
4.08 kB
- Xet hash:
- ce28fa0f34930a60653b994263cea4949d5a0ba7b73cc990d182757b15ec0534
- Size of remote file:
- 4.08 kB
- SHA256:
- ca2824a1eb5b10f822b5e740a9c0013bae3a14286289699845f5232f32f79a3f
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