Instructions to use jammygrams/bart-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jammygrams/bart-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jammygrams/bart-qa") model = AutoModelForSeq2SeqLM.from_pretrained("jammygrams/bart-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from jammygrams/bart-qa: direct link, hf CLI and curl.
- Browser
- Download file 123 Bytes
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https://huggingface.co/jammygrams/bart-qa/resolve/main/README.md
- Command line
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hf download hf://jammygrams/bart-qa/README.md
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curl -L -o README.md https://huggingface.co/jammygrams/bart-qa/resolve/main/README.md
123 Bytes
metadata
license: openrail
See https://github.com/jammygrams/Pea-QA for details on model training (with narrativeqa dataset)